Generalised Lomb-Scargle periodogram

The CARMENES search for exoplanets around M dwarfs

e-Archivo (Universidad Carlos III de Madrid)

TOI-3714 b and TOI-3629 b: Two Gas Giants Transiting M Dwarfs Confirmed with the Habitable-zone Planet Finder and NEID

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone

A close-in giant planet escapes engulfment by its star

TOI-3984 A b and TOI-5293 A b: Two Temperate Gas Giants Transiting Mid-M Dwarfs in Wide Binary Systems

Two super-Earths at the edge of the habitable zone of the nearby M dwarf TOI-2095

Radio emission in a nearby, ultra-cool dwarf binary: A multifrequency study

Mid-infrared time-domain study of recent dust production events in the extreme debris disc of TYC 4209-1322-1

Monthly notices of the Royal Astronomical Society

CARMENES input catalog of M dwarfs: VII. New rotation periods for the survey stars and their correlations with stellar activity

Wolf 327b: A new member of the pack of ultra-short-period super-Earths around M dwarfs


This program is designed for annotation of antimicrobal resistance(AMR), transposon(Tn) and integron(In) in bacteria.

BacAnt: A Combination Annotation Server for Bacterial DNA Sequences to Identify Antibiotic Resistance Genes, Integrons, and Transposable Elements

Mobilome-driven partitions of the resistome in Salmonella

Avian strains of emerging pathogen Escherichia fergusonii are phylogenetically diverse and harbor the greatest AMR dissemination potential among different sources: Comparative genomic evidence


The core definition and classes of the World Wide Charging Protocol Suite


Subgraph Based Learning of Contextual Embedding

Graph Self-Supervised Learning: A Survey

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

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

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

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


Are we building on the rock? on the importance of data preprocessing for code summarization

M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization

Multi-branch Attentive Transformer

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring

MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion

MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation


The ACCEPT image analysis algorithm made for the Cancer-ID Project.

Circulating tumor cells in advanced non-small cell lung cancer patients are associated with worse tumor response to checkpoint inhibitors

Tumour-derived extracellular vesicles in blood of metastatic cancer patients associate with overall survival

Prognostic Significance of Gene Expression and DNA Methylation Markers in Circulating Tumor Cells and Paired Plasma Derived Exosomes in Metastatic Castration Resistant Prostate Cancer

Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis

HER2 expression on tumor-derived extracellular vesicles and circulating tumor cells in metastatic breast cancer

Scanning Electron Microscopy of Circulating Tumor Cells and Tumor-Derived Extracellular Vesicles

How to Agree on a CTC: Evaluating the Consensus in Circulating Tumor Cell Scoring

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

Quantifying HER-2 expression on circulating tumor cells by ACCEPT

Leukocyte-Derived Extracellular Vesicles in Blood with and without EpCAM Enrichment

Tumor-Derived Extracellular Vesicles as Complementary Prognostic Factors to Circulating Tumor Cells in Metastatic Breast Cancer


SEAME corpus two develop set

On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition

Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data

Training a code-switching language model with monolingual data


Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data

Estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution

HiCPlus: Resolution Enhancement of Hi-C interaction heatmap


Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

Adversarial Sampling for Active Learning

Label-Noise Robust Generative Adversarial Networks

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Class-Distinct and Class-Mutual Image Generation with GANs


MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing

An ensemble of convolution-based methods for fault detection using vibration signals

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


(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Multi-Space Alignments Towards Universal LiDAR Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

4D Contrastive Superflows are Dense 3D Representation Learners


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Large-Scale Learnable Graph Convolutional Networks

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


Quality control code for estimating the quality of the workers in crowdsourcing environments

Aggregating and Predicting Sequence Labels from Crowd Annotations

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing


LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach


MAGAN: Aligning Biological Manifolds

Deep Learning in Single-Cell Analysis

Diffusion Transport Alignment


covidAsk: Answering Questions on COVID-19 in Real-Time

Biomedical Entity Representations with Synonym Marginalization

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training


Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"

Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph

International Conference on Computational Linguistics

REMOD: Relation Extraction for Modeling Online Discourse

Fact Checking via Path Embedding and Aggregation


Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

International Conference on Information and Knowledge Management

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation

Recommender Systems with Generative Retrieval


A Python library for knowledge graph representation learning (graph embedding).

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Convolutional 2D Knowledge Graph Embeddings

Holographic Embeddings of Knowledge Graphs

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

North American Chapter of the Association for Computational Linguistics

Probability Calibration for Knowledge Graph Embedding Models


ICLR 2021, Contrastive Learning with Hard Negative Samples

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning Disentangled Group Representation as Feature

Contrastive Attraction and Contrastive Repulsion for Representation Learning

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future

Sharpness & Shift-Aware Self-Supervised Learning


Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Rational neural networks


[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

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

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

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

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition


Her2 Breast Cancer Project

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

Zenodo (CERN European Organization for Nuclear Research)

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

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

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

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


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


Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Sparse 3D Reconstruction via Object-Centric Ray Sampling


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

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


Command-line driven tool to create dust opacities

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

LIDA: The Leiden Ice Database for Astrochemistry

Razor-thin dust layers in protoplanetary disks: Limits on the vertical shear instability

A multiwavelength analysis of the spiral arms in the protoplanetary disk around WaOph 6

The halo around HD 32297: μm-sized cometary dust

The impact of dynamic pressure bumps on the observational properties of protoplanetary disks

Apocenter pile-up and arcs: a narrow dust ring around HD 129590

Streaming instability in a global patch simulation of protoplanetary disks

Accreting luminous low-mass planets escape from migration traps at pressure bumps

CAI formation in the early Solar System


Learning Plannable Representations with Causal InfoGAN

Procedure Planning in Instructional Videos

A Survey on Causal Reinforcement Learning


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


BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

PIPPA: A Partially Synthetic Conversational Dataset

Learning Human-Human Interactions in Images from Weak Textual Supervision


[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Self-Alignment Pretraining for Biomedical Entity Representations

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking

Generalizing over Long Tail Concepts for Medical Term Normalization

Improving Biomedical Entity Linking with Cross-Entity Interaction

Proceedings of the AAAI Conference on Artificial Intelligence

Entity Linking over Nested Named Entities for Russian

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data

Multi-modal Graph Learning over UMLS Knowledge Graphs


Principled Detection of Out-of-Distribution Examples in Neural Networks

Densely Connected Convolutional Networks

Wide Residual Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Learning Confidence for Out-of-Distribution Detection in Neural Networks

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

A Variational Dirichlet Framework for Out-of-Distribution Detection

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.

Conservative Prediction via Data-Driven Confidence Minimization


Easy generative modeling in PyTorch

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

International Conference on Learning Representations

Auto-Encoding Variational Bayes

Neural Discrete Representation Learning

A Neural Algorithm of Artistic Style

Pixel Recurrent Neural Networks

Conditional Image Generation with PixelCNN Decoders

NICE: Non-linear Independent Components Estimation

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

Generative Pretraining from Pixels

International Conference on Machine Learning

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention


The CP solver Chuffed

Clingcon: The Next Generation

Optimal and Automated Deployment for Microservices

SUNNY-CP and the MiniZinc Challenge

Theory and Practice of Logic Programming


Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models

EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery


ICML 2018 Self-Imitation Learning

Self-Imitation Learning

Learning Self-Imitating Diverse Policies

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Self-Imitation Learning via Generalized Lower Bound Q-learning

Simplifying Deep Reinforcement Learning via Self-Supervision

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

Ranking Policy Gradient


Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

The Description Length of Deep Learning Models

Is MC Dropout Bayesian?

Practical Camera Sensor Spectral Response and Uncertainty Estimation

TyXe: Pyro-based Bayesian neural nets for Pytorch


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


ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

Accurate Shapley Values for explaining tree-based models

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models

The Shapley Value of coalition of variables provides better explanations

Accurate and robust Shapley Values for explaining predictions and focusing on local important variables.


Input-aware Dynamic Backdoor Attack (NeurIPS 2020)

Input-Aware Dynamic Backdoor Attack

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Adversarial Unlearning of Backdoors via Implicit Hypergradient

Few-Shot Backdoor Attacks on Visual Object Tracking

Reconstructive Neuron Pruning for Backdoor Defense

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion


A Universal Music Translation Network Implementation

Domain-Adversarial Training of Neural Networks

WaveNet: A Generative Model for Raw Audio

A Universal Music Translation Network


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

Mycobacterium genus database

Mycobacterium representative kraken2 database


python codes for CIDEr - Consensus-based Image Caption Evaluation

CIDEr: Consensus-based Image Description Evaluation

Deep Reinforcement Learning For Sequence to Sequence Models

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

A request for clarity over the End of Sequence token in the Self-Critical Sequence Training

Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts

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


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?


Adaptive alpha shearlet transform for manifold-valued data

Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography

TorchRadon: Fast Differentiable Routines for Computed Tomography

ShapeNet: Shape constraint for galaxy image deconvolution

Galaxy Image Restoration with Shape Constraint

Learning sparse representations on the sphere


Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Practical Lossless Compression with Latent Variables using Bits Back Coding

Lossless Compression with Probabilistic Circuits


Entropy coding / arithmetic coding for PyTorch

Practical Full Resolution Learned Lossless Image Compression

Image Compression with Product Quantized Masked Image Modeling

GRACE: Loss-Resilient Real-Time Video through Neural Codecs

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder


Code for biostar tutorials - mostly R and Perl

Pre-conditioning modifies the TME to enhance solid tumor CAR T cell efficacy and endogenous protective immunity

Molecular therapy : the journal of the American Society of Gene Therapy

Tumor Derived Extracellular Vesicles Drive T Cell Exhaustion in Tumor Microenvironment through Sphingosine Mediated Signaling and Impacting Immunotherapy Outcomes in Ovarian Cancer

Multifunctional RNA-binding proteins influence mRNA abundance and translational efficiency of distinct sets of target genes

Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population

Alzheimer's & dementia (Amsterdam, Netherlands)

Interactions of Both Pathogenic and Nonpathogenic CUG Clade Candida Species with Macrophages Share a Conserved Transcriptional Landscape

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors

Monocarboxylate Transporters Are Involved in Extracellular Matrix Remodelling in Pancreatic Ductal Adenocarcinoma

Tetraploidization of Immortalized Myoblasts Induced by Cell Fusion Drives Myogenic Sarcoma Development with DMD Deletion


Power Market Tool for the comprehensive analyses of modern electricity markets (Python+Julia)

Fast Security-Constrained Optimal Power Flow Through Low-Impact and Redundancy Screening

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe


A Cryptographic Inference Service for Neural Networks

CrypTFlow2: Practical 2-Party Secure Inference

GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference

SOTERIA: In Search of Efficient Neural Networks for Private Inference

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference

SECO: Secure Inference With Model Splitting Across Multi-Server
  Hierarchy


Creative Commons Attribution 4.0 International

JRC Hydro-power plants database

The role of new nuclear power in the UK's net-zero emissions energy system


R package containing useful functions for mutational signature analysis

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment

bioRxiv : the preprint server for biology

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

The impact of rare germline variants on human somatic mutation processes

Mutational topography reflects clinical neuroblastoma heterogeneity

A comprehensive comparison of tools for fitting mutational signatures


Python interface to Global Diffuse Sky Models (GDSM) for the radio sky between 10 MHz - 5 THz

Improved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

Cleaning foregrounds from single-dish 21 cm intensity maps with Kernel principal component analysis

Monthly notices of the Royal Astronomical Society

The Green Bank North Celestial Cap Survey. VII. 12 New Pulsar Timing Solutions

System design and calibration of SITARA—a global 21 cm short spacing interferometer prototype

Publications of the Astronomical Society of Australia

On the Spin Period Distribution of Millisecond Pulsars

Global Sky Models can Improve Flux Estimates in Pulsar and FRB Studies

Effects of model incompleteness on the drift-scan calibration of radio telescopes

The Green Bank North Celestial Cap Survey. VIII. 21 New Pulsar Timing Solutions

Probing the Global 21 cm Background by Velocity-induced Dipole and Quadrupole Anisotropies

A renewed search for radio emission from the variable γ-ray pulsar PSR J2021+4026


Source code for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColoRAN: Design and Testing of Open RAN Intelligence on Large-scale Experimental Platforms," arXiv 2112.09559 [cs.NI], December 2021.

ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms

OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms

ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym


[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

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

Trying Bilinear Pooling in Video-QA


Code for evolving a Dark Matter minispike under the influence of a perturbing body, injecting energy through dynamical friction.

Detecting dark matter around black holes with gravitational waves: Effects of dark-matter dynamics on the gravitational waveform

Measuring the dark matter environments of black hole binaries with gravitational waves

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer

Disks, spikes, and clouds: distinguishing environmental effects on BBH gravitational waveforms

Secondary accretion of dark matter in intermediate mass-ratio inspirals: Dark-matter dynamics and gravitational-wave phase

Sharpening the dark matter signature in gravitational waveforms II:
  Numerical simulations with the NbodyIMRI code

Sharpening the dark matter signature in gravitational waveforms I:
  Accretion and eccentricity evolution

Dark Spiky Primordial Black Holes


Optimize energy assets using mixed-integer linear programming


Build neural networks for machine learning force fields with JAX

So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields

Stress and heat flux via automatic differentiation


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

Breast Cancer Dataset, Classification and Detection Using Deep Learning


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

In Defense of Grid Features for Visual Question Answering

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

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

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals


Code for localizing variable star signatures in TESS Photometry

Hot subdwarfs in close binaries observed from space

Localizing Sources of Variability in Crowded TESS Photometry

Contamination in TESS Light Curves: The Case of the Fast Yellow Pulsating Supergiants

Searching for TESS Photometric Variability of Possible JWST Spectrophotometric Standard Stars

The bright blue side of the night sky: Spectroscopic survey of bright and hot (pre-) white dwarfs

Kepler and TESS Observations of PG 1159-035

Photometric variability of the LAMOST sample of magnetic chemically peculiar stars as seen by TESS

Rotation plays a role in the generation of magnetic fields in single white dwarfs


Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


Set of utilities on sequences and BAM files

A unified catalog of 204,938 reference genomes from the human gut microbiome

Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma

A catalogue of 1,167 genomes from the human gut archaeome

Genome-resolved metagenomics using environmental and clinical samples

Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population

Draft genome sequence of a representative strain of the Catenibacterium genus isolated from human feces

Environmental sources along natural cave ripening shape the microbiome and metabolome of artisanal blue-veined cheeses


Content Planning for Neural Story Generation with Aristotelian Rescoring

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Guiding Neural Story Generation with Reader Models


TREC CAsT 2019: The Conversational Assistance Track Overview

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Contextualized Query Embeddings for Conversational Search

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search

Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

Conference on Human Information Interaction and Retrieval

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Conversational Entity Linking: Problem Definition and Datasets

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

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

From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track


icSHAPE pipeline

Structural imprints in vivo decode RNA regulatory mechanisms

Structural disruption of exonic stem-loops immediately upstream of the intron regulates mammalian splicing

The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets

RNAnue: efficient data analysis for RNA–RNA interactomics


python wrapper for rubberband

A Bi-directional Transformer for Musical Chord Recognition

Mustango: Toward Controllable Text-to-Music Generation

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

DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces

From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models


Technologically Assisted Reviews in Empirical Medicine

Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy

A Study on Ranking Fusion Approaches for the Retrieval of Medical Publications

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews

A question-answering framework for automated abstract screening using large language models

Journal of the American Medical Informatics Association

Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review


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


Unsupervised Image-to-Image Translation

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Unsupervised Image-to-Image Translation Networks

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Breaking the Dilemma of Medical Image-to-image Translation

Neural Style-Preserving Visual Dubbing

International Conference on Computer Graphics and Interactive Techniques

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN

Iconify: Converting Photographs into Icons

Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia

Image-to-Image Translation of Synthetic Samples for Rare Classes


A C++ library to compress and intersect sorted lists of integers using SIMD instructions

SIMD compression and the intersection of sorted integers

Universal indexes for highly repetitive document collections

Upscaledb: Efficient integer-key compression in a key-value store using SIMD instructions

On the reproducibility of experiments of indexing repetitive document collections

Joint Conference of the Information Retrieval Communities in Europe


Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

Data-efficient Large Scale Place Recognition with Graded Similarity Supervision

Generalized Contrastive Optimization of Siamese Networks for Place Recognition


A python wrapper for Speech Signal Processing Toolkit (SPTK).

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

Many-to-Many Voice Transformer Network

Surfboard: Audio Feature Extraction for Modern Machine Learning

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis

Learning and controlling the source-filter representation of speech with a variational autoencoder

Crossmodal Voice Conversion


O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

IEEE transactions on visualization and computer graphics


First order eccentricity transit timing variations computed in Agol & Deck (2015)

Seven temperate terrestrial planets around the nearby ultracool dwarf star TRAPPIST-1

SECURE MASS MEASUREMENTS FROM TRANSIT TIMING: 10 KEPLER EXOPLANETS BETWEEN 3 AND 8M⊕ WITH DIVERSE DENSITIES AND INCIDENT FLUXES

The K2-138 System: A Near-resonant Chain of Five Sub-Neptune Planets Discovered by Citizen Scientists

TRANSIT TIMING TO FIRST ORDER IN ECCENTRICITY

The Transit Timing and Atmosphere of Hot Jupiter HAT-P-37b


mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data

Use of Whole-Genome Sequencing for Mitochondrial Disease Diagnosis

Low disease risk and penetrance in Leber hereditary optic neuropathy


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 wide variety of research projects developed by the SpokenNLP team of Speech Lab, Alibaba Group.

BERT for Joint Intent Classification and Slot Filling

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

Loss Masking Is Not Needed In Decoder-Only Transformer For Discrete-Token-Based ASR

Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling

MUG: A General Meeting Understanding and Generation Benchmark

Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings


A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Conserved cell types with divergent features in human versus mouse cortex

Cell type discovery using single-cell transcriptomics: implications for ontological representation

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing


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

Massively scalable genetic analysis of antibody repertoires

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

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


Package implementing various parametric and nonparametric methods for conditional density estimation

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

Noise Regularization for Conditional Density Estimation


A lightweight library for Frechet Audio Distance calculation.

High Fidelity Neural Audio Compression

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models

NoiseBandNet: Controllable Time-Varying Neural Synthesis of Sound Effects Using Filterbanks

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation
  Using GANs and Integrated Unaligned Clean Data

Combining audio control and style transfer using latent diffusion

Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices


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

Monthly Notices of the Royal Astronomical Society

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


PROSE Public Benchmark Suite

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

A Survey on Automated Program Repair Techniques

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Proceedings of the ACM on Programming Languages

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

Information-theoretic User Interaction: Significant Inputs for Program Synthesis


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


Interactive Studio for Explanatory Model Analysis

The Grammar of Interactive Explanatory Model Analysis


Lorikeet is a JQuery plugin to view MS/MS spectra annotated with fragment ions.

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies


Benchmark datasets for WGS analysis of SARS-CoV-2. (https://peerj.com/articles/13821/)

EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts

Benchmark datasets for SARS-CoV-2 surveillance bioinformatics

ViralFlow v1.0—a computational workflow for streamlining viral genomic surveillance


Natural language detection

Predicting Issue Types on GitHub

PALI: A Language Identification Benchmark for Perso-Arabic Scripts

LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages

Pretraining and Updating Language- and Domain-specific Large Language
  Model: A Case Study in Japanese Business Domain

Your Code is 0000: An Analysis of the Disposable Phone Numbers Ecosystem


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


This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).


Python bindings for NCO


A BioWDL pipeline for processing RNA-seq data, starting with FASTQ files to produce expression measures and VCFs. Category:Multi-Sample

Blood RNA signature RISK4LEP predicts leprosy years before clinical onset

Single-Cell Transcriptomics Analysis of Human Small Antral Follicles

International journal of molecular sciences

C/D box snoRNA SNORD113-6/AF357425 plays a dual role in integrin signalling and arterial fibroblast function via pre-mRNA processing and 2′O-ribose methylation


MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data

Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals

Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4

The person-to-person transmission landscape of the gut and oral microbiomes

Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases

Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration

Comparing Circadian Rhythmicity in the Human Gut Microbiome

Bioinformatic approaches for studying the microbiome of fermented food

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Isolation of Elizabethkingia anophelis From COVID-19 Swab Kits


Lightweight utilities for working with spectroscopic data

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

A survey for variable young stars with small telescopes: VII -- Spot Properties on YSOs in IC5070

Multiple giant eruptions and X-ray emission in the recoiling AGN/LBV candidate SDSS1133

A survey for variable young stars with small telescopes: V - Analysis of TXOri, V505Ori, and V510Ori, the HST ULLYSES targets in the σOri cluster

SN 2019odp: A Massive Oxygen-Rich Type Ib Supernova


Fairness Testing: A Comprehensive Survey and Analysis of Trends

SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness

Machine Learning Suites for Online Toxicity Detection

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling

Finding Good Representations of Emotions for Text Classification

An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings

International Conference on Computational Linguistics

Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models

Findings of the Association for Computational Linguistics: EMNLP 2022


DomainBed is a suite to test domain generalization algorithms

Deep Residual Learning for Image Recognition

Domain-Adversarial Training of Neural Networks

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

Invariant Risk Minimization

Deeper, Broader and Artier Domain Generalization

Learning to Generalize: Meta-Learning for Domain Generalization

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

In Search of Lost Domain Generalization


Memory with 64-bit indexes

WebAssembly as a Common Layer for the Cloud-edge Continuum

Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge

Exploring the Use of WebAssembly in HPC

Fat Pointers for Temporal Memory Safety of C


Energy Research and Forecasting Model


Climate Watch: Data for Climate Action


A high performance caching library for Java

Randomized Admission Policy for Efficient Top-k and Frequency Estimation

HUGE: An Efficient and Scalable Subgraph Enumeration System

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

SALSA: Self-Adjusting Lean Streaming Analytics

Understanding Application-Level Caching in Web Applications

Automation of application-level caching in a seamless way

Learning Future Reference Patterns for Efficient Cache Replacement Decisions

Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints

On the Power of False Negative Awareness in Indicator-based Caching Systems

RLCache: Automated Cache Management Using Reinforcement Learning


A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services

Requirements for Ethereum Private Sidechains

Flexible Integration of Blockchain with Business Process Automation: A Federated Architecture

Lecture notes in business information processing

Blockchain Privacy and Scalability in a Decentralized Validated Energy Trading Context with Hyperledger Fabric

Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management


Reproduce DeFi hacked incidents using Foundry.

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware
  Repair of Access Control Vulnerabilities in Smart Contracts

Demystifying Invariant Effectiveness for Securing Smart Contracts

SoK: Cross-Chain Bridging Architectural Design Flaws and Mitigations


The Unified Phenotype Ontology (uPheno) integrates multiple phenotype ontologies into a unified cross-species phenotype ontology.

The Human Phenotype Ontology in 2021

Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources

The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease

dictyBase and the Dicty Stock Center (version 2.0) - a progress report.

The International journal of developmental biology

Transforming the study of organisms: Phenomic data models and knowledge bases

Quantitative analysis of proteins which are members of the same protein complex but cause locus heterogeneity in disease

Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology


Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation


Namecoin Wiki "Git" - The Namecoin wiki has moved to:

Survey of crosschain communications protocols

Identity Management on Blockchain -- Privacy and Security Aspects

Anonymous State Pinning for Private Blockchains


PyTorch Implementation of InfoGAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Unsupervised Few-Shot Feature Learning via Self-Supervised Training

Techniques for Symbol Grounding with SATNet

k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension

Max-Sliced Mutual Information


CUDD: CU Decision Diagram package - unofficial git mirror of https://web.archive.org/web/20180127051756/http://vlsi.colorado.edu/~fabio/CUDD/html/index.html (intro: https://web.archive.org/web/20150215010018/http://vlsi.colorado.edu/~fabio/CUDD/cuddIntro.html)

The Probabilistic Model Checker Storm

Cache Persistence Analysis: Finally Exact

DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees

Solving Bitvectors with MCSAT: Explanations from Bits and Pieces

MAP Inference for Probabilistic Logic Programming

Theory and Practice of Logic Programming

Core Challenge 2022: Solver and Graph Descriptions

Symbolic Search for Optimal Planning with Expressive Extensions

Parametric Verification: An Introduction

Transactions on Petri Nets and Other Models of Concurrency XIV

On Deciding Feature Membership in Explanations of SDD & Related Classifiers

Quantum State Preparation Using an Exact CNOT Synthesis Formulation


New dataset

Cross-lingual Language Model Pretraining

MLQA: Evaluating Cross-lingual Extractive Question Answering

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT

Cross-language Information Retrieval


Memory consumption and FLOP count estimates for convnets

Survey and Benchmarking of Machine Learning Accelerators

IEEE High Performance Extreme Computing Conference

Survey of Machine Learning Accelerators

MobiSys - DarkneTZ: towards model privacy at the edge using trusted execution environments

International Conference on Mobile Systems, Applications, and Services

Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

AI Accelerator Survey and Trends

A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform

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

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

Distilled Neural Networks for Efficient Learning to Rank

IEEE Transactions on Knowledge and Data Engineering

Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions

Meeting of the Association for Computational Linguistics

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning


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


VICReg official code base

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Blockwise Self-Supervised Learning at Scale

A Survey on Self-Supervised Representation Learning

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures

Self-supervised learning for skin cancer diagnosis with limited training data

LDReg: Local Dimensionality Regularized Self-Supervised Learning

Self-supervised learning with rotation-invariant kernels

InfoNCE: Identifying the Gap Between Theory and Practice

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform


NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams


local non-uniformity correction for mutual information estimation

Efficient Estimation of Mutual Information for Strongly Dependent Variables

Information estimation using nonparametric copulas

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Detection of cooperatively bound transcription factor pairs using ChIP-seq peak intensities and expectation maximization


Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

A Plug&Play P300 BCI Using Information Geometry

On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study


MisGAN: Learning from Incomplete Data with GANs

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows


Neural Graph Evolution: Towards Efficient Automatic Robot Design

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design


DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

Zenodo (CERN European Organization for Nuclear Research)

A Survey of Deep Learning Techniques for Weed Detection from Images

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

Weed recognition using deep learning techniques on class-imbalanced imagery

Testing the Suitability of Automated Machine Learning for Weeds Identification

WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion

Multi-Class Weed Recognition Using Hybrid CNN-SVM Classifier

A High-Performance Computing Cluster for Distributed Deep Learning: A Practical Case of Weed Classification Using Convolutional Neural Network Models


Code to reproduce data for Bias in Bios

Algorithmic fairness datasets: the story so far

FIND: Human-in-the-Loop Debugging Deep Text Classifiers

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models

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

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment

MABEL: Attenuating Gender Bias using Textual Entailment Data

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

Adversarial Scrubbing of Demographic Information for Text Classification

Fair NLP Models with Differentially Private Text Encoders

Measuring Fairness of Text Classifiers via Prediction Sensitivity


[ICCV 2023] BlendFace: Re-designing Identity Encoders for Face-Swapping https://arxiv.org/abs/2307.10854

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

DF40: Toward Next-Generation Deepfake Detection


Non-parametrics for Causal Inference

Estimating individual treatment effect: generalization bounds and algorithms

Learning Representations for Counterfactual Inference

A Survey on Causal Inference

Treatment effect estimation with disentangled latent factors

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Evaluation Methods and Measures for Causal Learning Algorithms

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation

International Conference on Information and Knowledge Management

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests

Learning Interpretable Models with Causal Guarantees

Sufficient dimension reduction for average causal effect estimation


a tool for calcualting character n-gram F score

chrF++: words helping character n-grams

Proceedings of the Second Conference on Machine Translation

Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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

Revisiting Round-Trip Translation for Quality Estimation

A Large-Scale Study of Machine Translation in the Turkic Languages

Unsupervised Neural Machine Translation for English and Manipuri

Character-level Transformer-based Neural Machine Translation


Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset

Bag of Tricks for Image Classification with Convolutional Neural Networks

High-Performance Large-Scale Image Recognition Without Normalization


Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Adversarial Self-Supervised Contrastive Learning

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future

Effective Targeted Attacks for Adversarial Self-Supervised Learning

A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability


Geometric Augmentation for Text Image

Decoupled Attention Network for Text Recognition

Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition

Conditional Text Image Generation with Diffusion Models

SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text

CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset


This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.

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

Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features

Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems

Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion

Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models


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

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

INC-Seq: accurate single molecule reads using nanopore sequencing

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

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


CaRB - A Crowdsourced Benchmark for Open IE

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

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

CaRB: A Crowdsourced Benchmark for Open IE

Multi^2OIE: Multilingual Open Information Extraction Based on
  Multi-Head Attention with BERT

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

LILLIE: Information extraction and database integration using linguistics and learning-based algorithms

CompactIE: Compact Facts in Open Information Extraction

Syntactic Multi-view Learning for Open Information Extraction

Constrained Tuple Extraction with Interaction-Aware Network

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

Open Information Extraction via Chunks


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


Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

MIMICS: A Large-Scale Data Collection for Search Clarification

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Keyword Extraction for Improved Document Retrieval in Conversational Search


Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Neural Variational Inference for Text Processing

Hyperspherical Variational Auto-Encoders

Generating Sentences by Editing Prototypes

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport


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

Learning Speech Emotion Representations in the Quaternion Domain

Speech recognition with quaternion neural networks

Quaternion Convolutional Neural Networks: Current Advances and Future Directions

Real to H-space Encoder for Speech Recognition


Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

Generative Compositional Augmentations for Scene Graph Prediction

Zero-shot Scene Graph Generation via Triplet Calibration and Reduction

ACM Transactions on Multimedia Computing, Communications, and Applications


RCandy:  an R package for visualising homologous recombination events in bacterial genomes

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

Detection of recombination events in bacterial genomes from large population samples

International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact


Soft Threshold Weight Reparameterization for Learnable Sparsity

To prune, or not to prune: exploring the efficacy of pruning for model compression

Discovering Neural Wirings

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

PDP: Parameter-free Differentiable Pruning is All You Need


kmerfreq count K-mer (with size K) frequency from the input sequence data, typically sequencing reads data, and refe rence genome data is also applicable.  Kmerferq output file can be used as input file of either version of GCE (Genomic character estimator).

Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae)

Estimation of genome size using k-mer frequencies from corrected long reads

Draft Genome Assembly of Floccularia luteovirens, an Edible and Symbiotic Mushroom on Qinghai-Tibet Plateau

The Molecular Mechanism of Yellow Mushroom (Floccularia luteovirens) Response to Strong Ultraviolet Radiation on the Qinghai-Tibet Plateau


A Python package for barycentric rational and polynomial interpolation and approximation.

The AAA Algorithm for Rational Approximation

An algorithm for best rational approximation based on barycentric rational interpolation

A unified rational Krylov method for elliptic and parabolic fractional diffusion problems

On Rational Krylov and Reduced Basis Methods for Fractional Diffusion

Managing temperature in open quantum systems strongly coupled with structured environments


Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

Language Models are Few-Shot Learners

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

Scope is all you need: Transforming LLMs for HPC Code

Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from
  training data, prompting, and decoding strategies into its near-SoTA
  performance


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


Bridging Research and Practice with PyTorch

SimMIM: A Simple Framework for Masked Image Modeling

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

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

Understanding the Role of the Projector in Knowledge Distillation

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

MixMobileNet: A Mixed Mobile Network for Edge Vision Applications


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


Student Classroom Behavior dataset

SCB-dataset: A Dataset 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

SCB-Dataset3: A Benchmark for Detecting Student Classroom Behavior


Utilities for community ecology analysis

Gene Expression Changes and Community Turnover Differentially Shape the Global Ocean Metatranscriptome

Functional and Structural Responses of Arctic and Alpine Soil Prokaryotic and Fungal Communities Under Freeze-Thaw Cycles of Different Frequencies

Diversity and distribution of marine heterotrophic bacteria from a large culture collection

A Temporally Dynamic Gut Microbiome in Atlantic Salmon During Freshwater Recirculating Aquaculture System (RAS) Production and Post-seawater Transfer

Chestnut Shell Tannins: Effects on Intestinal Inflammation and Dysbiosis in Zebrafish

Animals : an open access journal from MDPI

Host-Specificity and Core Taxa of Seagrass Leaf Microbiome Identified Across Tissue Age and Geographical Regions

Sex-Specific Differences in the Gut Microbiome in Response to Dietary Fiber Supplementation in IL-10-Deficient Mice

Deciphering the Assembly Processes of the Key Ecological Assemblages of Microbial Communities in Thirteen Full-Scale Wastewater Treatment Plants

Spatial assortment of soil organisms supports the size-plasticity hypothesis

Prokaryotic, Fungal, and Unicellular Eukaryotic Core Communities Across Three Sympatric Marine Sponges From the Southwestern Atlantic Coast Are Dominated Largely by Deterministic Assemblage Processes


Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

Efficient Neural Network Robustness Certification with General Activation Functions

Scalable Verified Training for Provably Robust Image Classification

Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

Training Provably Robust Models by Polyhedral Envelope Regularization

REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service


Open source software for image feature extraction.

SciPy 1.0: fundamental algorithms for scientific computing in Python

A Simple Framework for Contrastive Learning of Visual Representations

PyWavelets: A Python package for wavelet analysis

Mahotas: Open source software for scriptable computer vision

Application of Higher Order Spectra to Identify Epileptic EEG

Comparison of Multiresolution Features for Texture Classification of Carotid Atherosclerosis From B-Mode Ultrasound

International Conference of the IEEE Engineering in Medicine and Biology Society

QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection


E(n) Equivariant Graph Neural Networks

An efficient Lorentz equivariant graph neural network for jet tagging

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks

Equivariant Graph Hierarchy-Based Neural Networks

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation


Code for ICE-BeeM paper - NeurIPS 2020

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Flow Contrastive Estimation of Energy-Based Models

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Causal Representation Learning in Temporal Data via Single-Parent Decoding


R wrapper for National Grid Carbon Intensity API


CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

GitRanking: A ranking of GitHub topics for software classification using active sampling

Detecting implicit cross-communities to which an active user belongs


Inference algorithms for models based on Luce's choice axiom

Designing gamified rewards to encourage repeated app selection: Effect of reward placement

International Journal of Human-Computer Studies

Measuring and Improving Semantic Diversity of Dialogue Generation

"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops

A Spectral Approach to Item Response Theory

Efficient and Accurate Learning of Mixtures of Plackett-Luce Models

Preference Elicitation as Average-Case Sorting

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

GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents

Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data


Joint Learning of Character and Word Embeddings

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Improved Word Representation Learning with Sememes

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Multi-Granularity Chinese Word Embedding

Learning Chinese Word Representations From Glyphs Of Characters

VCWE: Visual Character-Enhanced Word Embeddings

Exploiting Word Internal Structures for Generic Chinese Sentence Representation

Word and Document Embeddings based on Neural Network Approaches

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives

A Hybrid Learning Scheme for Chinese Word Embedding


Implementation of multi-level Contrastive Predictive Coding (CPC) methods

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation

Variable-rate hierarchical CPC leads to acoustic unit discovery in speech


Previously Open Dataset of Electric Vehicle specs. Now part of the Chargeprice API!

Dynamic routing for the Electric Vehicle Shortest Path Problem with charging station occupancy information

The electric vehicle shortest path problem with time windows and prize collection

PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS)


Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

Cryptic diversity of a widespread global pathogen reveals expanded threats to amphibian conservation

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

SeqyClean: A Pipeline for High-throughput Sequence Data Preprocessing

International Conference on Bioinformatics

Transcript expression plasticity as a response to alternative larval host plants in the speciation process of corn and rice strains of Spodoptera frugiperda

High-throughput and Cost-effective Chicken Genotyping Using Next-Generation Sequencing

The Chloroplast Genome of Utricularia reniformis Sheds Light on the Evolution of the ndh Gene Complex of Terrestrial Carnivorous Plants from the Lentibulariaceae Family

Diapause in a tropical oil-collecting bee: molecular basis unveiled by RNA-Seq

Arbuscular Mycorrhizal Symbiosis Leads to Differential Regulation of Drought-Responsive Genes in Tissue-Specific Root Cells of Common Bean

Allele-specific expression is widespread in Bos indicus muscle and affects meat quality candidate genes

Genomic Correlates of Virulence Attenuation in the Deadly Amphibian Chytrid Fungus, Batrachochytrium dendrobatidis


Guided Flows for Generative Modeling and Decision Making

Diffusion World Model

DiffuserLite: Towards Real-time Diffusion Planning

Diffused Task-Agnostic Milestone Planner

Learning to Reach Goals via Diffusion

Efficient Planning with Latent Diffusion

Regularized Conditional Diffusion Model for Multi-Task Preference
  Alignment

Resisting Stochastic Risks in Diffusion Planners with the Trajectory
  Aggregation Tree


A data package containing lexicons and dictionaries for text analysis

Identifying the sentiment styles of YouTube's vloggers

Examining UK drill music through sentiment trajectory analysis

Linguistic features and psychological states: A machine-learning based approach

LexScore: A Semantic Approach to Scoring Domain Specific Sentiment Lexicons


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.


JetSeT a framework for self-consistent modeling and fitting of  astrophysical relativistic jets

Multiwavelength study of the quiescent states of six brightest flat-spectrum radio quasars detected by Fermi-LAT

Monthly Notices of the Royal Astronomical Society

Multi-messenger characterization of Mrk501 during historically low X-ray and gamma-ray activity

The Astrophysical Journal Supplement Series

Radio-γ-ray response in blazars as a signature of adiabatic blob expansion

Broadband modelling of Orphan gamma ray flares

Temporal and spectral study of PKS B1222 + 216 flares in 2014

Monthly notices of the Royal Astronomical Society

A model-driven search for extreme BL Lacs among LAT BCU

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

The Detection of Possible γ-Ray Quasi-periodic Modulation with ∼600 days from the Blazar S2 0109+22


An Interactive Tool for Scalable and Reproducible Error Analysis.

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Errudite: Scalable, Reproducible, and Testable Error Analysis

Meeting of the Association for Computational Linguistics

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems


Code for "Effective Dimensionality Reduction for Word Embeddings".

Simple and Effective Dimensionality Reduction for Word Embeddings

On Dimensional Linguistic Properties of the Word Embedding Space

EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding

Findings of the Association for Computational Linguistics: ACL 2023


Knowledge Embedding Framework Powered by XiaoHan.

Knowledge Graph Embedding with Hierarchical Relation Structure

Empirical Methods in Natural Language Processing

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm


Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling

UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures
  for Human Avatar Modeling


This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Neural dynamics of semantic composition

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates

Gene expression based survival prediction for cancer patients—A topic modeling approach

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021

Renormalization Analysis of Topic Models

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

Semantic Features Based N-Best Rescoring Methods for Automatic Speech Recognition

TopicModel4J: A Java Package for Topic Models


Scripts for analysis used during the course

Polygenic adaptation from standing genetic variation allows rapid ecotype formation

Whole-genome Analyses Reveal Past Population Fluctuations and Low Genetic Diversities of the North Pacific Albatrosses

Molecular Signatures of Reticulate Evolution within the Complex of European Pine Taxa


Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Functional CRISPR dissection of gene networks controlling human regulatory T cell identity

Modulation of myeloid and T cells in vivo by Bruton's tyrosine kinase inhibitor ibrutinib in patients with metastatic pancreatic ductal adenocarcinoma

Immune Modulation with RANKL Blockade through Denosumab Treatment in Patients with Cancer


A Graph-theoretical Network Analysis Toolkit in MATLAB

DCP: A pipeline toolbox for diffusion connectome

The Local Topological Reconfiguration in the Brain Network After Targeted Hub Dysfunction Attacks in Patients With Juvenile Myoclonic Epilepsy

Structural–functional coupling abnormalities in temporal lobe epilepsy


This package helps fisheries scientists collect growth data from calcified structures and back-calculate estimated lengths at previous ages. The package is intended to replace much of the functionality provided by the now out-dated fishBC software.


A Survey of Machine Unlearning

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods

Machine Unlearning

Proof of Unlearning: Definitions and Instantiation

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

CaMU: Disentangling Causal Effects in Deep Model Unlearning


[CVPR 2021]: The Spatially-Correlative Loss for Various Image Translation Tasks

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


aspect-based sentiment classification

Interactive Attention Networks for Aspect-Level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification

Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention


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

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


Graph Attention Networks

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Inductive Graph Neural Networks for Spatiotemporal Kriging

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy


Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.

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

Contrastive Self-Supervised Learning for Commonsense Reasoning


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


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


A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

ST-MoE: Designing Stable and Transferable Sparse Expert Models

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Efficient Large Language Models: A Survey

Data Engineering for Scaling Language Models to 128K Context

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining

OLMoE: Open Mixture-of-Experts Language Models

How Far Are We From AGI


Data repository of Project Coswara

Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Zenodo (CERN European Organization for Nuclear Research)

COVID-19 open source data sets: a comprehensive survey

DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis

IEEE access : practical innovations, open solutions

AI-Based human audio processing for COVID-19: A comprehensive overview

Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data

Biomedical signal processing and control


Instruction Tuning for Large Language Models: A Survey

Aya Dataset: An Open-Access Collection for Multilingual Instruction
  Tuning

Datasets for Large Language Models: A Comprehensive Survey

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Safer-Instruct: Aligning Language Models with Automated Preference Data

Under the Surface: Tracking the Artifactuality of LLM-Generated Data

Self Information Update for Large Language Models through Mitigating Exposure Bias

SelectLLM: Can LLMs Select Important Instructions to Annotate?


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


DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Annealing Knowledge Distillation

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding

When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation


Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data

Gromov-Wasserstein optimal transport to align single-cell multi-omics data

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs

Distributional Reduction: Unifying Dimensionality Reduction and
  Clustering with Gromov-Wasserstein


Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

Head and Neck Cancer Primary Tumor Auto Segmentation using Model Ensembling of Deep Learning in PET-CT Images

Progression Free Survival Prediction for Head and Neck Cancer using Deep Learning based on Clinical and PET-CT Imaging Data

MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning


Core Data of HowNet and OpenHowNet Python API

OpenHowNet: An Open Sememe-based Lexical Knowledge Base

Representation Learning for Natural Language Processing

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

Does attention mechanism possess the feature of human reading? A perspective of sentiment classification task

Bridging the Gap Between BabelNet and HowNet: Unsupervised Sense Alignment and Sememe Prediction

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics


Statistical estimation of a clear sky signal from PV system power data

Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models

Statistical Clear Sky Fitting Algorithm


folk music modelling with LSTM

Music transcription modelling and composition using deep learning

Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis

Taking the Models back to Music Practice: Evaluating Generative Transcription Models built using Deep Learning

Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs

Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI

On the encoding of natural music in computational models and human brains


SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Weakly Supervised Learning of Rigid 3D Scene Flow

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions


PolyFun (POLYgenic FUNctionally-informed fine-mapping)

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

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

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease


Concolic Testing for Deep Neural Networks

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Coverage-Guided Testing for Recurrent Neural Networks

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the L_0 Norm

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations

Embedding and extraction of knowledge in tree ensemble classifiers

Reliability Validation of Learning Enabled Vehicle Tracking

Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features

Tutorials on Testing Neural Networks


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

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

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models


Soil Incubation Database sidb

Interactions among temperature, moisture, and oxygen concentrations in controlling decomposition rates in a boreal forest soil

Decomposability of soil organic matter over time: the Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures


A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

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

GaitPart: Temporal Part-Based Model for Gait Recognition

Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

OpenGait: Revisiting Gait Recognition Toward Better Practicality

GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition

Learning Gait Representation From Massive Unlabelled Walking Videos: A Benchmark


IEEE 802.11 a/g/p Transceiver

Fair Coexistence of Scheduled and Random Access Wireless Networks: Unlicensed LTE/WiFi

Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation

Channel Measurement and Feasibility Test for Wireless Avionics Intra-Communications

Transparent and Tamper-Proof Event Ordering in the Internet of Things Platforms


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


User space software for Intel(R) Resource Director Technology

A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors

Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations

Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud