AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.

The AiiDA-KKR plugin and its application to high-throughput impurity embedding into a topological insulator

Interorbital Cooper pairing at finite energies in Rashba surface states

Atomic Diffusion-Induced Polarization and Superconductivity in Topological Insulator-Based Heterostructures

The JuDiT database of impurities embedded into a Topological Insulator


Spatial and spectral models for astrophysics

Time-resolved GRB polarization with POLAR and GBM - Simultaneous spectral and polarization analysis with synchrotron emission

Is spectral width a reliable measure of GRB emission physics?

Proceedings of 7th International Fermi Symposium — PoS(IFS2017)

HAWC Study of the Ultra-high-energy Spectrum of MGRO J1908+06

A search for spectral hardening in HAWC sources above 56 TeV


A pythonic library for probing nuclear physics and cosmology with multimessenger analysis

GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann

Updated Observing Scenarios and Multimessenger Implications for the International Gravitational-wave Networks O4 and O5

Chemical Distribution of the Dynamical Ejecta in the Neutron Star Merger GW170817


SQuARE: Software for question answering research.

UKP-SQUARE: An Online Platform for Question Answering Research

UKP-SQuARE v3: A Platform for Multi-Agent QA Research

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

UKP-SQuARE: An Interactive Tool for Teaching Question Answering


A repository for learning various heap exploitation techniques.

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Automatic Techniques to Systematically Discover New Heap Exploitation Primitives

A Pattern-Based Software Testing Framework for Exploitability Evaluation of Metadata Corruption Vulnerabilities


Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

GPT-4 Technical Report

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Evaluating Large Language Models: A Comprehensive Survey

Large Language Models Are Not Robust Multiple Choice Selectors

On the Exploitability of Instruction Tuning

Seven Failure Points When Engineering a Retrieval Augmented Generation System

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking


Biomedical Data-to-Text Generation via Fine-Tuning Transformers

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

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension


Compressing Large Language Models using Low Precision and Low Rank Decomposition

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and
  Lattice Codebooks

Compressing Large Language Models using Low Rank and Low Precision Decomposition


Official Code of our AAAI-24 Paper: "Generative Multi-modal Knowledge Retrieval with Large Language Models".

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Autoregressive Search Engines: Generating Substrings as Document Identifiers

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering

Generative Multi-Modal Knowledge Retrieval with Large Language Models


Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering

DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering


MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

Inductive Representation Learning on Large Graphs

Neural Graph Collaborative Filtering

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

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Large Multi-modal Encoders for Recommendation


High throughput sequencing analysis tools

Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals

Environmental Breviatea harbour mutualistic Arcobacter epibionts

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

Giraffe genome sequence reveals clues to its unique morphology and physiology

Gene and genome-centric analyses of koala and wombat fecal microbiomes point to metabolic specialization for Eucalyptus digestion

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

Use of whole genome sequencing to investigate an increase in Neisseria gonorrhoeae infection among women in urban areas of Australia

De novo transcriptome assembly and analysis of differentially expressed genes of two barley genotypes reveal root-zone-specific responses to salt exposure

Repeat-Driven Generation of Antigenic Diversity in a Major Human Pathogen, Trypanosoma cruzi

Frontiers in cellular and infection microbiology

Intra-host sequence variability in human papillomavirus

Papillomavirus research (Amsterdam, Netherlands)


Pytorch Implementation of GoEmotions

GoEmotions: A Dataset of Fine-Grained Emotions

Comparing emotion feature extraction approaches for predicting depression and anxiety

Workshop on Computational Linguistics and Clinical Psychology

ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer


[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding


Code for Multi-Object Matching

Multi-Image Semantic Matching by Mining Consistent Features

State of the Art and Potentialities of Graph-level Learning

Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian

Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching


Framework for evaluating Graph Neural Network models on semi-supervised node classification task

Deep Learning on Graphs: A Survey

Pitfalls of Graph Neural Network Evaluation

Graph Contrastive Learning with Adaptive Augmentation

Graph Random Neural Network for Semi-Supervised Learning on Graphs

Large-Scale Representation Learning on Graphs via Bootstrapping

GraphMix: Improved Training of GNNs for Semi-Supervised Learning

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Graph Communal Contrastive Learning

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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


This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Hindsight Experience Replay

Policy Architectures for Compositional Generalization in Control

Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks

Bilinear value networks

Adaptive Multi-Goal Exploration


Parallel Sequence to Graph Alignment

Accelerating Sequence Alignment to Graphs

AStarix: Fast and Optimal Sequence-to-Graph Alignment

Fast and Optimal Sequence-to-Graph Alignment Guided by Seeds


Data plus code fo Classification of Heart Sound Signal Using Multiple Features

Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

Automatic Detection and Classification of Cardiovascular Disorders Using Phonocardiogram and Convolutional Vision Transformers

Transfer Learning Models for Detecting Six Categories of Phonocardiogram Recordings

Journal of cardiovascular development and disease

Deep Learning Algorithm for Heart Valve Diseases Assisted Diagnosis

Heart Sound Classification Network Based on Convolution and Transformer


MS-DAP: downstream analysis pipeline for quantitative proteomics

Activity-dependent translation dynamically alters the proteome of the perisynaptic astrocyte process

Age-Dependent Hippocampal Proteomics in the APP/PS1 Alzheimer Mouse Model: A Comparative Analysis with Classical SWATH/DIA and directDIA Approaches

Succinate mediates inflammation-induced adrenocortical dysfunction


SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization


Immunology-related bioinformatics data and tools

Robust enumeration of cell subsets from tissue expression profiles

Inferring tumour purity and stromal and immune cell admixture from expression data

TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

The Immune Landscape of Cancer

xCell: digitally portraying the tissue cellular heterogeneity landscape

Absolute quantification of somatic DNA alterations in human cancer

Single-Cell Immune Map of Breast Carcinoma Reveals Diverse Phenotypic States Driven by the Tumor Microenvironment

CellMarker: a manually curated resource of cell markers in human and mouse

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment


3D ResNets for Action Recognition

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition


Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning

DONAPI: Malicious NPM Packages Detector using Behavior Sequence
  Knowledge Mapping


This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".

Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis


Quick Draw Irregular Mask Dataset

Image Inpainting for Irregular Holes Using Partial Convolutions

Efficient texture-aware multi-GAN for image inpainting

Pixel-wise Dense Detector for Image Inpainting

A Benchmark for Inpainting of Clothing Images with Irregular Holes

Texture-aware Multi-resolution Image Inpainting.

Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network


fast, memory-efficient, pythonic (and command-line) access to fasta sequence files

A bioinformatics workflow for detecting signatures of selection in genomic data

Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells

Population genetic structure and geographical variation in Neotricula aperta (Gastropoda: Pomatiopsidae), the snail intermediate host of Schistosoma mekongi (Digenea: Schistosomatidae)

Genetic Drift Shapes the Evolution of a Highly Dynamic Metapopulation

Transmission Dynamics and Genomic Epidemiology of Emerging Variants of SARS-CoV-2 in Bangladesh

Tropical medicine and infectious disease

Metagenomic Sequencing for the Diagnosis of Plasmodium spp. with Different Levels of Parasitemia in EDTA Blood of Malaria Patients—A Proof-of-Principle Assessment

International journal of molecular sciences


ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Road Extraction by Deep Residual U-Net

IEEE Geoscience and Remote Sensing Letters

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US


A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of Contextual Representations" (NAACL 2019).

Discovering Latent Concepts Learned in BERT

Discovering Salient Neurons in Deep NLP Models

A Linguistic Study on Relevance Modeling in Information Retrieval

Scaling up Discovery of Latent Concepts in Deep NLP Models


Code release for  Universal Domain Adaptation(CVPR 2019)

Universal Source-Free Domain Adaptation

On the Effectiveness of Image Rotation for Open Set Domain Adaptation

Benchmarking Domain Adaptation Methods on Aerial Datasets


Mitigating Adversarial Effects Through Randomization

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

BUZz: BUffer Zones for defending adversarial examples in image classification


A general-purpose BFT state machine replication library with modularity and simplicity, suitable for building hybrid consensus cryptocurrencies.

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

Basil: Breaking up BFT with ACID (transactions)

Symposium on Operating Systems Principles

Dispel: Byzantine SMR with Distributed Pipelining

FnF-BFT: Exploring Performance Limits of BFT Protocols

[Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks

Mir-BFT: High-Throughput Robust BFT for Decentralized Networks

Dissecting the Performance of Chained-BFT

Be Aware of Your Leaders

IA-CCF: Individual Accountability for Permissioned Ledgers

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems


:question: Attention-based Visual Question Answering in Torch

VQA: Visual Question Answering

Stacked Attention Networks for Image Question Answering

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

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization


Wiktionary parser tool for many language editions.

Building basic vocabulary across 40 languages

Meeting of the Association for Computational Linguistics

Pivot-based multilingual dictionary building using Wiktionary

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

Cross-lingual alignments of ELMo contextual embeddings

Automatic creation of bilingual dictionaries for Finno-Ugric languages

Filtering Wiktionary Triangles by Linear Mbetween Distributed Word Models


Revealing neural correlates of behavior without behavioral measurements

Neural mechanisms of context-dependent segmentation tested on large-scale recording data


A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

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

Making a “Completely Blind” Image Quality Analyzer

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Maintaining Natural Image Statistics with the Contextual Loss

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


[CVPR2023] All in One: Exploring Unified Video-Language Pre-training

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering


High Harmonic Generation in the Strong Field Approximation via Mathematica

Spin conservation in high-order-harmonic generation using bicircular fields

Chirp-control of resonant high-order harmonic generation in indium ablation plumes driven by intense few-cycle laser pulses.

Anatomy of high-order harmonic emission from p states in bicircular fields

High harmonic interferometry of the Lorentz force in strong mid-infrared laser fields

The imaginary part of the high-harmonic cutoff

Generation of attosecond pulses with a controllable carrier-envelope phase via high-order frequency mixing


Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

Deep Bayesian Reward Learning from Preferences


First M87 EHT Results: Imaging Pipelines

Hybrid Mapping of the Black Hole Shadow in M87

The Jet and Resolved Features of the Central Supermassive Black Hole of M87 Observed with the Event Horizon Telescope (EHT)

The Jet and Resolved Features of the Central Supermassive Black Hole of M87 Observed with EHT in 2017—Comparison with the GMVA 86 GHz Results


MatBuilder: Mastering Sampling Uniformity Over Projections

Generator Matrices by Solving Integer Linear Programs


LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

SoK: Can Trajectory Generation Combine Privacy and Utility?

MobilityDL: A Review of Deep Learning From Trajectory Data


"Learning What is Essential in Questions", CoNLL, 2017

Learning What is Essential in Questions

Conference on Computational Natural Language Learning

Answering Science Exam Questions Using Query Reformulation with Background Knowledge

Conference on Automated Knowledge Base Construction

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

Answering Science Exam Questions Using Query Rewriting with Background Knowledge

Reasoning-Driven Question-Answering for Natural Language Understanding


Stochastic training of graph convolutional networks

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

GraphSAINT: Graph Sampling Based Inductive Learning Method

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

IGLU: Efficient GCN Training via Lazy Updates


Collection of AI resources to fight against Coronavirus (COVID-19)

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

Digital technology and COVID-19

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA

Artificial intelligence and the future of global health

The Role of Imaging in the Detection and Management of COVID-19: A Review

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic


Pytorch official implementation for Imitating Unknown Policies via Exploration.

Behavioral Cloning from Observation

Imitating Latent Policies from Observation


Switchboard Dialog Act Corpus with Penn Treebank links

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Language Through a Prism: A Spectral Approach for Multiscale Language Representations

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts

Speaker Turn Modeling for Dialogue Act Classification

Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task

Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Speaker-change Aware CRF for Dialogue Act Classification

An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Ranking of Potential Questions


A universal time series representation learning framework

TS2Vec: Towards Universal Representation of Time Series

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

A Survey on Time-Series Pre-Trained Models

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction

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

A Co-training Approach for Noisy Time Series Learning

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

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

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Deep Coupling Network For Multivariate Time Series Forecasting


Video Noise Contrastive Estimation

Improved Baselines with Momentum Contrastive Learning

Self-Supervised Learning of Pretext-Invariant Representations

Watching the World Go By: Representation Learning from Unlabeled Videos

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving


Explore and interpret large embeddings in your browser with interactive visualization!

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings

Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics


Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing


Self-supervised monocular depth estimation with a vision transformer

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

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

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation


One short text dataset for classification and clustering extracted from StackOverflow

Short Text Clustering via Convolutional Neural Networks

North American Chapter of the Association for Computational Linguistics

Deep Weighted Averaging Classifiers

Proceedings of the Conference on Fairness, Accountability, and Transparency

Intent Mining from past conversations for conversational agent

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


This repository contains code used for the fly brain activity experiments

Activity sources from fast large-scale brain recordings in adult Drosophila

Valence and State-Dependent Population Coding in Dopaminergic Neurons in the Fly Mushroom Body

Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes

A dopamine-gated learning circuit underpins reproductive state-dependent odor preference in Drosophila females


Quantization of Convolutional Neural networks.

Post training 4-bit quantization of convolutional networks for rapid-deployment

Post-Training 4-bit Quantization on Embedding Tables

SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration


Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]

Deep Group-shuffling Random Walk for Person Re-identification

End-to-End Deep Kronecker-Product Matching for Person Re-identification

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk


a reimplementation of Holistically-Nested Edge Detection in PyTorch

Holistically-Nested Edge Detection

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes

Edge Augmentation for Large-Scale Sketch Recognition without Sketches

Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning

Shape Defense Against Adversarial Attacks

Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy


Probabilistic Programming eXecution protocol (PPX)

Technology Readiness Levels for Machine Learning Systems

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Planning as Inference in Epidemiological Models

Probabilistic Surrogate Networks for Simulators with Unbounded Randomness


NEMO: cancer subtyping by integration of partial multi-omic data

Machine learning for multi-omics data integration in cancer

Evaluation and comparison of multi-omics data integration methods for cancer subtyping

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis


Conditional Image Synthesis With Auxiliary Classifier GANs

Evaluation Metrics for Conditional Image Generation

International Journal of Computer Vision

Manifold Topology Divergence: a Framework for Comparing Data Manifolds


A repository with a variety of meshes with minimal licensing requirements.

Reach For the Spheres: Tangency-Aware Surface Reconstruction of SDFs

A Splitting Scheme for Flip-Free Distortion Energies

Accurate Differential Operators for Hybrid Neural Fields

A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing


FigurA11y: AI Assistance for Writing Scientific Alt Text

Proceedings of the 29th International Conference on Intelligent User Interfaces

The concept of decentralization through time and disciplines: a quantitative exploration

The dynamics of higher-order novelties

Oil & Water? Diffusion of AI Within and Across Scientific Fields


Automatic Data-Regularized Actor-Critic (Auto-DrAC)

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Automatic Data Augmentation for Generalization in Reinforcement Learning

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL

Rethinking Value Function Learning for Generalization in Reinforcement Learning

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Block Sparse movement pruning

Q8BERT: Quantized 8Bit BERT

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Training with Quantization Noise for Extreme Model Compression

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

BERMo: What can BERT learn from ELMo?


[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Denoising Diffusion Restoration Models

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Unsupervised vocal dereverberation with diffusion-based generative models

OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable
  Diffusion Model

Benchmarking the Fairness of Image Upsampling Methods

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion
  Models


Scripts to import your FeatureCounts output into DEXSeq

Transcriptome profiling of mouse brains with qkI-deficient oligodendrocytes reveals major alternative splicing defects including self-splicing

Identification of Early-Onset Metastasis in SF3B1 Mutated Uveal Melanoma

Utilizing the codon adaptation index to evaluate the susceptibility to HIV-1 and SARS-CoV-2 related coronaviruses in possible target cells in humans

Frontiers in cellular and infection microbiology

Genetic diversity, tissue-specific expression, and functional analysis of the ATP7A gene in sheep


Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks


Batch effect adjustment based on negative binomial regression for RNA sequencing count data

Prior anti-CTLA-4 therapy impacts molecular characteristics associated with anti-PD-1 response in advanced melanoma

Plasma Metabolomics Reveals Dysregulated Metabolic Signatures in HIV-Associated Immune Reconstitution Inflammatory Syndrome

Transcriptional profiling of Hutchinson-Gilford Progeria syndrome fibroblasts reveals deficits in mesenchymal stem cell commitment to differentiation related to early events in endochondral ossification

Differential contributions of nuclear lamina association and genome compartmentalization to gene regulation

An in silico approach to the identification of diagnostic and prognostic markers in low-grade gliomas


Somatic point mutation caller

Mutational topography reflects clinical neuroblastoma heterogeneity

Zenodo (CERN European Organization for Nuclear Research)


Yet another repository for developing and benchmarking deep learning-based change detection methods.

Fully Convolutional Siamese Networks for Change Detection

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE Transactions on Geoscience and Remote Sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS Journal of Photogrammetry and Remote Sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE Geoscience and Remote Sensing Letters

Street-view change detection with deconvolutional networks

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

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


Night-to-Day Image Translation for Retrieval-based Localization

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN


MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Representation Learning for General-sum Low-rank Markov Games

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games


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

Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration

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


Computational pipeline for calling consensi on R2C2 nanopore data

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Depletion of Hemoglobin Transcripts and Long-Read Sequencing Improves the Transcriptome Annotation of the Polar Bear (Ursus maritimus)

Generation of an isoform-level transcriptome atlas of macrophage activation

Isoform-level transcriptome Atlas of Macrophage Activation

Illumina But With Nanopore: Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2


PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


The developmental impacts of natural selection on human pelvic morphology

Accounting for diverse evolutionary forces reveals mosaic patterns of selection on human preterm birth loci

Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data

MiRLog and dbmiR: Prioritization and functional annotation tools to study human microRNA sequence variants


Hypergraph Neural Networks (AAAI 2019)

Hypergraph Neural Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

From Hypergraph Energy Functions to Hypergraph Neural Networks

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations


Segmentation of the thalamus into 11 nuclei and MTT using white-matter-nulled MPRAGE MRI image contrast with support now for standard MPRAGE also (Version 2.1) This is OBSOLETE. Please use http://github.com/thalamicseg/hipsthomasdocker which is the latest and maintained © Copyright Manojkumar Saranathan 2021-2025

Disuse-Driven Plasticity in the Human Thalamus and Putamen


Machine learning tool to detect landslides from optical satellite imagery


Phylogenetic Analysis of Long Terminal Repeat Retrotransposons

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

jModelTest 2: more models, new heuristics and parallel computing

The Pfam protein families database: towards a more sustainable future

Repbase Update, a database of repetitive elements in eukaryotic genomes

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

The Dfam database of repetitive DNA families

GenomeTools: A Comprehensive Software Library for Efficient Processing of Structured Genome Annotations

IEEE/ACM transactions on computational biology and bioinformatics

The Gypsy Database (GyDB) of mobile genetic elements: release 2.0

LTR Retrotransposons Show Low Levels of Unequal Recombination and High Rates of Intraelement Gene Conversion in Large Plant Genomes


Arena-Hard-Auto: An automatic LLM benchmark.

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of
  Diverse Models

HelpSteer2: Open-source dataset for training top-performing reward models

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline


Ground-Water Hydrograph Analysis Toolbox


[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

On the Adversarial Robustness of Multi-Modal Foundation Models

Understanding Zero-Shot Adversarial Robustness for Large-Scale Models

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings
  for Robust Large Vision-Language Models


TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Eigenvalue Corrected Noisy Natural Gradient

Walsh-Hadamard Variational Inference for Bayesian Deep Learning

Eigenvalue-corrected Natural Gradient Based on a New Approximation


Pytorch implementation of BRECQ, ICLR 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Genie: Show Me the Data for Quantization


Absorption Line Fitter

The stellar metallicities of massive quiescent galaxies at 1.0 < z < 1.3 from KMOS+VANDELS

The Assembly History of M87 Through Radial Variations in Chemical Abundances of its Field Star And Globular Cluster Populations

Initial mass function variability from the integrated light of diverse stellar systems


Smith-Waterman local aligner

Accurate detection of complex structural variations using single molecule sequencing

Balancing sensitivity and specificity in distinguishing TCR groups by CDR sequence similarity

Digital data storage on DNA tape using CRISPR base editors


Randomly subsample sequencing reads or alignments

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes

Rasusa: Randomly subsample sequencing reads to a specified coverage

A complete high-quality MinION nanopore assembly of an extensively drug-resistant Mycobacterium tuberculosis Beijing lineage strain identifies novel variation in repetitive PE/PPE gene regions

Optimized use of Oxford Nanopore flowcells for hybrid assemblies

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

A chromosome-level reference genome and pangenome for barn swallow population genomics

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Automated antimicrobial susceptibility testing and antimicrobial resistance genotyping using Illumina and Oxford Nanopore Technologies sequencing data among Enterobacteriaceae

Bactabolize: A tool for high-throughput generation of bacterial strain-specific metabolic models


PROBABILISTIC FORECASTING OF THE MASSES AND RADII OF OTHER WORLDS

Large Interferometer For Exoplanets (LIFE)

K2 DISCOVERS A BUSY BEE: AN UNUSUAL TRANSITING NEPTUNE FOUND IN THE BEEHIVE CLUSTER

Detecting Exomoons from Radial Velocity Measurements of Self-luminous Planets: Application to Observations of HR 7672 B and Future Prospects

Beyond the exoplanet mass-radius relation

Can planetary rings explain the extremely low density of HIP 41378 ��?

California-Kepler Survey. IX. Revisiting the Minimum-mass Extrasolar Nebula with Precise Stellar Parameters

KELT-18b: Puffy Planet, Hot Host, Probably Perturbed

Properties of sub-Neptune atmospheres: TOI-270 system

Monthly Notices of the Royal Astronomical Society

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


AdaFace: Quality Adaptive Margin for Face Recognition

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

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

Fast-DiM: Towards Fast Diffusion Morphs

KeyPoint Relative Position Encoding for Face Recognition

Mitigating the Impact of Attribute Editing on Face Recognition

Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs

AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using
  Knowledge Distillation


Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Graph-Based Continual Learning

Gated Information Bottleneck for Generalization in Sequential Environments

Learning to Transfer with von Neumann Conditional Divergence

Continual Invariant Risk Minimization


Python API for interactive fiction games

Language Understanding for Text-based Games Using Deep Reinforcement Learning

Deep Reinforcement Learning with a Natural Language Action Space

Using reinforcement learning to learn how to play text-based games

Baselines for Reinforcement Learning in Text Games

A survey of benchmarking frameworks for reinforcement learning


Cross-lingual Dependency Parsing Based on Distributed Representations

A Survey of Cross-lingual Word Embedding Models

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

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

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


Pairwise SNP distance matrix from a FASTA sequence alignment

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

Genome Dynamics of Vibrio cholerae Isolates Linked to Seasonal Outbreaks of Cholera in Dhaka, Bangladesh

Evaluation of phylogenetic reconstruction methods using bacterial whole genomes: a simulation based study

Variation and transmission of the human gut microbiota across multiple familial generations

Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

Previously undetected super-spreading of Mycobacterium tuberculosis revealed by deep sequencing


Earl Grey: A fully automated TE curation and annotation pipeline

Earl Grey: a fully automated user-friendly transposable element annotation and analysis pipeline

Myriapod genomes reveal ancestral horizontal gene transfer and hormonal gene loss in millipedes

Transposable Element Interactions Shape the Ecology of the Deer Mouse Genome

A pangenome-guided manually curated library of transposable elements for Zymoseptoria tritici

Chromosomal-level genome assembly of golden birdwing Troides aeacus (Felder & Felder, 1860)


The Town Energy Balance (TEB) model software and platform

Enhanced software and platform for the Town Energy Balance (TEB) model


[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results


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

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

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

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Prioritized Level Replay

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

Evolving Curricula with Regret-Based Environment Design

Replay-Guided Adversarial Environment Design

Stabilizing Unsupervised Environment Design with a Learned Adversary


CNN based brain masking

QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy

CompNet: Complementary Segmentation Network for Brain MRI Extraction

Medical Image Computing and Computer-Assisted Intervention

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations


MARMOT - the open source framework for feature extraction and machine learning, designed to estimate the quality of Machine Translation output

Findings of the 2015 Workshop on Statistical Machine Translation

Alibaba Submission for WMT18 Quality Estimation Task

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

MARMOT: A Toolkit for Translation Quality Estimation at the Word Level

Contextual Encoding for Translation Quality Estimation

Joint ASR and MT Features for Quality Estimation in Spoken Language Translation

International Workshop on Spoken Language Translation

Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features


Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

Mind Reader: Reconstructing complex images from brain activities

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Variational Distribution Learning for Unsupervised Text-to-Image Generation


MiVOLO age & gender transformer neural network

MiVOLO: Multi-input Transformer for Age and Gender Estimation

Mobile Foundation Model as Firmware

Beyond Specialization: Assessing the Capabilities of MLLMs in Age and
  Gender Estimation


Pure-Python DAG-based high-performance SHM-backed pub-sub and multi-processing pattern

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS

medRxiv : the preprint server for health sciences

A click-based electrocorticographic brain-computer interface enables long-term high-performance switch-scan spelling


Project OCELoT: an Open, Collaborative Evaluation Leaderboard of Translations

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Findings of the 2021 Conference on Machine Translation (WMT21)

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet

Proceedings of the Eighth Conference on Machine Translation


Finmag source

Driving magnetic skyrmions with microwave fields

Magnon-Driven Domain-Wall Motion with the Dzyaloshinskii-Moriya Interaction

Micromagnetics and spintronics: models and numerical methods

Dynamics of skyrmionic states in confined helimagnetic nanostructures

Microwave-induced dynamic switching of magnetic skyrmion cores in nanodots

Sensing magnetic nanoparticles using nano-confined ferromagnetic resonances in a magnonic crystal

Skyrmions in thin films with easy-plane magnetocrystalline anisotropy

Phenomenological description of the nonlocal magnetization relaxation in magnonics, spintronics, and domain-wall dynamics

Skyrmion states in thin confined polygonal nanostructures

Hysteresis of nanocylinders with Dzyaloshinskii-Moriya interaction


Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

Two temperate super-Earths transiting a nearby late-type M dwarf

TOI-1759 b: A transiting sub-Neptune around a low mass star characterized with SPIRou and TESS

TOI-1696: A Nearby M4 Dwarf with a 3 R ⊕ Planet in the Neptunian Desert

A systematic validation of hot Neptunes in TESS data

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry

A sub-Neptune transiting the young field star HD 18599 at 40 pc

TESS discovery of a super-Earth orbiting the M-dwarf star TOI-1680


NEREL: A Russian Dataset with Nested Named Entities, Relations and Events

Few-Shot Nested Named Entity Recognition

NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links

Entity Linking over Nested Named Entities for Russian

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


H.E.L.E.N. (Homopolymer Encoded Long-read Error-corrector for Nanopore)

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

An integrated personal and population-based Egyptian genome reference


A bilinear pairing library for petlib

Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers

AStERISK: Auction-based Shared Economy ResolutIon Markets for Blockchain Platforms

Aggregate Signatures with Versatile Randomization and Issuer-Hiding Multi-Authority Anonymous Credentials

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

zksk: A Library for Composable Zero-Knowledge Proofs

Workshop on Privacy in the Electronic Society


Predicting total battery cycle life time with machine learning


Heterogeneity through discriminative analysis

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

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

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

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

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning


This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

Bag of Tricks for Efficient Text Classification

A Survey on Cross-Lingual Summarization

Zero-Shot Cross-Lingual Summarization via Large Language Models

IndicBART: A Pre-trained Model for Indic Natural Language Generation

Findings of the Association for Computational Linguistics: ACL 2022

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

mFACE: Multilingual Summarization with Factual Consistency Evaluation

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla


Two-stage Difference-in-Differences package following Gardner (2021)

did2s: Two-Stage Difference-in-Differences

Difference-in-Differences Estimation with Spatial Spillovers

Difference-in-Differences for Policy Evaluation


A multi-resolution seismic attenuation tomography code - currently in its 3.0 release

3-D attenuation image of fluid storage and tectonic interactions across the Pollino fault network

Scattering Attenuation Images of the Control of Thrusts and Fluid Overpressure on the 2016–2017 Central Italy Seismic Sequence


Discontinuous Data-Oriented Parsing

The paradox of the compositionality of natural language: a neural machine translation case study

Data-oriented parsing with discontinuous constituents and function tags

Discontinuous Parsing with an Efficient and Accurate DOP Model

International Workshop/Conference on Parsing Technologies

Multitask Pointer Network for Multi-Representational Parsing

Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)

Discontinuous Constituent Parsing with Pointer Networks

Unlexicalized Transition-based Discontinuous Constituency Parsing

Discontinuous Data-Oriented Parsing: A mildly context-sensitive all-fragments grammar

Discontinuous Constituent Parsing as Sequence Labeling

Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence


Preliminary DRAGON2 with the various cross section options

Implications of current nuclear cross sections on secondary cosmic rays with the upcoming DRAGON2 code

Journal of Cosmology and Astroparticle Physics

Combined analyses of the antiproton production from cosmic-ray interactions and its possible dark matter origin

FLUKA cross sections for cosmic-ray interactions with the DRAGON2 code

New Markov-Chain Monte Carlo analyses for the evaluation of the antiproton background

Cosmic-ray propagation and production of secondary particles in the Galaxy

Multimessenger search for electrophilic feebly interacting particles from supernovae

Robust constraints on feebly interacting particles using XMM-Newton

Cosmic-Ray Propagation Models Elucidate the Prospects for Antinuclei
  Detection

Antiproton bounds on dark matter annihilation from a combined analysis using the DRAGON2 code

On the origin of the spectral features observed in the cosmic ray spectrum


A modular PyTorch library for optical flow estimation using neural networks

FlowNet: Learning Optical Flow with Convolutional Networks

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

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Volumetric Correspondence Networks for Optical Flow

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation

DCVNet: Dilated Cost Volume Networks for Fast Optical Flow


Reusable BatchBALD implementation

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions


Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

Domain-Adversarial Training of Neural Networks

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Semisupervised adversarial neural networks for single-cell classification

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报


iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

iBOT: Image BERT Pre-Training with Online Tokenizer

Towards a Visual-Language Foundation Model for Computational Pathology

Probing the 3D Awareness of Visual Foundation Models

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Zero-shot visual reasoning through probabilistic analogical mapping

Transcriptomics-guided Slide Representation Learning in Computational
  Pathology

Discriminative Sample-Guided and Parameter-Efficient Feature Space
  Adaptation for Cross-Domain Few-Shot Learning


EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Fog Integrated Secured and Distributed Environment for Healthcare Industry with Software Defined Networking

Wasit Journal of Computer and Mathematics Science


The stochastic collision risk model toolbox


Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

Single‐cell RNA‐seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma

Single-Cell RNA-seq Reveals Characteristics of Malignant Cells and Immune Microenvironment in Subcutaneous Panniculitis-Like T-Cell Lymphoma

Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology

MLG: multilayer graph clustering for multi-condition scRNA-seq data

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.


Doublet detection in single-cell RNA-seq data.

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data

A single-cell atlas of the human healthy airways

scds: Computational Annotation of Doublets in Single Cell RNA Sequencing Data

Targeted pharmacological therapy restores β-cell function for diabetes remission

Early Transcriptional Landscapes of Chlamydia trachomatis-Infected Epithelial Cells at Single Cell Resolution

Reconstructing physical cell interaction networks from single-cell data using Neighbor-seq


Time Dependent Open Quantum Systems Solver written by Matthew Otten (mjotten@wisc.edu)

Recovering noise-free quantum observables

Accounting for Errors in Quantum Algorithms via Individual Error Reduction

Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes

Benchmarking near-term quantum computers via random circuit sampling

PsiQuaSP–A library for efficient computation of symmetric open quantum systems

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs

PROCEEDINGS OF SECOND INTERNATIONAL WORKSHOP ON QUANTUM COMPUTING SOFTWARE (QCS 2021)

Quantum Machine Learning using Gaussian Processes with Performant Quantum Kernels

Importance of Diagonal Gates in Tensor Network Simulations

Optical detection and storage of entanglement in plasmonically coupled quantum-dot qubits

Impacts of noise and structure on quantum information encoded in a quantum memory


Statistically Significant loops from HiChIP data

Identification of significant chromatin contacts from HiChIP data by FitHiChIP

FitHiChIP: Identification of significant chromatin contacts from HiChIP data

Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis

Protocol to capture transcription factor-mediated 3D chromatin interactions using affinity tag-based BL-HiChIP


Protoplanetary Disk Modeling for Dynamical Mass Derivation

The Degree of Alignment between Circumbinary Disks and Their Binary Hosts

A Disk-based Dynamical Mass Estimate for the Young Binary AK Sco

A DISK-BASED DYNAMICAL CONSTRAINT ON THE MASS OF THE YOUNG BINARY DQ TAU

ALMA Measurements of Circumstellar Material in the GQ Lup System

ALMA Observations of the Young Substellar Binary System 2M1207

A Coplanar Circumbinary Protoplanetary Disk in the TWA 3 Triple M Dwarf System

Kinematic Structures in Planet-Forming Disks


Official repository for the ProteinGym benchmarks

ProGen2: Exploring the Boundaries of Protein Language Models

RITA: a Study on Scaling Up Generative Protein Sequence Models

AutoEval Done Right: Using Synthetic Data for Model Evaluation

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction


Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


Making Energy Systems Modeling as simple as a linear regression in R


Interface to the public ECMWF API Web Services


expVIP. EXPression and VIsualisation Platform

A roadmap for gene functional characterisation in crops with large genomes: Lessons from polyploid wheat

Genome-Wide Transcription During Early Wheat Meiosis Is Independent of Synapsis, Ploidy Level, and the Ph1 Locus

Rust expression browser: an open source database for simultaneous analysis of host and pathogen gene expression profiles with expVIP


The SpatialDecon library implements the SpatialDecon algorithm for mixed cell deconvolution in spatial gene expression datasets. (This algorithm also works in bulk expression profiling data.)

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

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

Deep Learning in Single-Cell Analysis

Bexmarilimab-induced macrophage activation leads to treatment benefit in solid tumors: The phase I/II first-in-human MATINS trial

Pseudobudding: ruptured glands do not represent true tumor buds


A new version of CLASS that can deal with axion-like particles. Co-developped with Tristan L. Smith, Tanvi Karwal + some initial commits by Charlotte Owen.

The H_0 Olympics: A fair ranking of proposed models

Resolving the Hubble tension with new early dark energy

Early dark energy is not excluded by current large-scale structure data

The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data

Early dark energy resolution to the Hubble tension in light of weak lensing surveys and lensing anomalies

The Ups and Downs of Early Dark Energy solutions to the Hubble tension: A review of models, hints and constraints circa 2023

Dark energy at early times and ACT data: A larger Hubble constant without late-time priors

Hints of Early Dark Energy in Planck, SPT, and ACT data: new physics or systematics?

Dark sector to restore cosmological concordance

Implication of the Hubble tension for the primordial Universe in light of recent cosmological data


Tool for transpiling C to Go.

Code Translation with Compiler Representations

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation

Zenodo (CERN European Organization for Nuclear Research)

Towards Translating Real-World Code with LLMs: A Study of Translating to
  Rust

Rectifier: Code Translation with Corrector via LLMs


A 10000+ hours dataset for Chinese speech recognition

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets

Automatic Prosody Annotation with Pre-Trained Text-Speech Model


Open-source opinionated Galaxy-based framework for microbiota analysis

ASaiM: a Galaxy-based framework to analyze microbiota data

ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework

ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota


A (very) simple script to QC Hi-C data.

Chromosome-level Thlaspi arvense genome provides new tools for translational research and for a newly domesticated cash cover crop of the cooler climates

A Reference Genome Assembly of American Bison, Bison bison bison

A phased, chromosome-scale genome of ‘Honeycrisp’ apple (Malus domestica)

The Gillenia trifoliata genome reveals dynamics correlated with growth and reproduction in Rosaceae

De Novo Assembly and Annotation of 11 Diverse Shrub Willow (Salix) Genomes Reveals Novel Gene Organization in Sex-Linked Regions

International journal of molecular sciences


Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.

Segment Anything for Microscopy

Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings

Structured Prediction Problem Archive

ViM-UNet: Vision Mamba for Biomedical Segmentation


Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

EASSE: Easier Automatic Sentence Simplification Evaluation

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

Text Simplification by Tagging

Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer

Proceedings of the 14th International Conference on Natural Language Generation

Multilingual Unsupervised Sentence Simplification

EditEval: An Instruction-Based Benchmark for Text Improvements

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

Sentence Simplification via Large Language Models


SuperNovae in object-oriented Python (SNooPy)

Are Type Ia Supernovae in Rest-frame H Brighter in More Massive Galaxies?

SN 2013aa and SN 2017cbv: Two Sibling Type Ia Supernovae in the Spiral Galaxy NGC 5643

Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae


A suite of convenience functions for working with hydrology data in an interactive Python session.

Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons


DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

GenDICE: Generalized Offline Estimation of Stationary Values

Reinforcement Learning via Fenchel-Rockafellar Duality

Benchmarks for Deep Off-Policy Evaluation

CoinDICE: Off-Policy Confidence Interval Estimation

Deeply-Debiased Off-Policy Interval Estimation

Offline Policy Selection under Uncertainty

Learning Bellman Complete Representations for Offline Policy Evaluation

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction


eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.

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

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity


Real or Fake Text? Evaluation criteria for human-written and computer-generated text through the gamification of annotation. Published in EMNLP 2020.

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Automatic Detection of Generated Text is Easiest when Humans are Fooled

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text


A model to predict Total ELectricity Loads (TELL)


A graph-based approach to diploid genome assembly

A haplotype-aware de novo assembly of related individuals using pedigree sequence graph

A haplotype-aware de novo assembly of related individuals using pedigree graph


Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Deep Learning for Anomaly Detection: A Review

Graph-based Anomaly Detection and Description: A Survey

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

Graph-Based Fraud Detection in the Face of Camouflage

Community Discovery in Dynamic Networks: A Survey

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

International Conference on Information and Knowledge Management

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

Anomaly detection in dynamic networks: a survey

Wiley Interdisciplinary Reviews Computational Statistics

A comprehensive survey of anomaly detection techniques for high dimensional big data


CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.


Software for selective inference

Unifying approach to selective inference with applications to cross-validation

Inferactive data analysis

Inference After Selecting Plausibly Valid Instruments with Application to Mendelian Randomization

Black-box Selective Inference via Bootstrapping

An Exact Sampler for Inference after Polyhedral Model Selection


COVID-19 related virus data, environmental data and policy data

Taking the pulse of COVID-19: a spatiotemporal perspective

The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective

International journal of environmental research and public health

Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data

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

Phased Implementation of COVID-19 Vaccination: Rapid Assessment of Policy Adoption, Reach and Effectiveness to Protect the Most Vulnerable in the US

A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research

International Conference on Data Technologies and Applications


Analysis software for the NICER mission

Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-Ray Data Set

NICER Discovery of Millisecond X-Ray Pulsations and an Ultracompact Orbit in IGR J17494-3030

Observations of 4U 1626–67 with the Imaging X-Ray Polarimetry Explorer

Proper motion, spectra, and timing of PSR J1813-1749 using Chandra and NICER

Monthly notices of the Royal Astronomical Society

A Comprehensive X-Ray Report on AT2019wey

A month of monitoring the new magnetar Swift J1555.2-5402 during an X-ray outburst

A NICER View of Spectral and Profile Evolution for Three X-Ray-emitting Millisecond Pulsars

Constraining the magnetic field geometry of the millisecond pulsar PSR J0030+0451 from joint radio, thermal X-ray, and γ-ray emission

SXP 15.6 – an accreting pulsar close to spin equilibrium?

An X-Ray and Radio View of the 2022 Reactivation of the Magnetar SGR J1935+2154


A workflow to build models of the European electricity system for Calliope.

Trade-Offs between Geographic Scale, Cost, and Infrastructure Requirements for Fully Renewable Electricity in Europe

euro-calliope: pre-built models

Harder, better, faster, stronger: understanding and improving the tractability of large energy system models


Plotting and analysis tools for ARTIS simulations

3D radiative transfer kilonova modelling for binary neutron star merger simulations

Double detonations: variations in Type Ia supernovae due to different core and He shell masses -- II: synthetic observables

Modelling the ionization state of Type Ia supernovae in the nebular phase

Self-consistent 3D Radiative Transfer for Kilonovae: Directional Spectra from Merger Simulations

Helium as a signature of the double detonation in Type Ia supernovae

Towards inferring the geometry of kilonovae


Genetics ToolboX R package

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort

Epigenomic profiling of the infrapatellar fat pad in osteoarthritis


Describe and apply transformation on molecular structures and topologies

Martinize2 and Vermouth: Unified Framework for Topology Generation

Phospholipids are imported into mitochondria by VDAC, a dimeric beta barrel scramblase

Dynamic HIV-1 spike motion creates vulnerability for its membrane-bound tripod to antibody attack

Switching Gō-Martinifor Investigating Protein Conformational Transitions and Associated Protein-Lipid Interactions

Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations


distributed, likelihood-free inference

pyABC: distributed, likelihood-free inference

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation

Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data

FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes


Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.


The Kubernetes Package Manager

Development of the CMS detector for the CERN LHC Run 3

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

On-demand virtual research environments using microservices

Computational Strategies for Scalable Genomics Analysis


hacked ported version for octave from the  borre/akos code

GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability

Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization

Robust GPS-Vision Localization via Integrity-Driven Landmark Attention

Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments


KOBAS: a command line tool for identifying significant pathways from genomic data

Taxus yunnanensis genome offers insights into gymnosperm phylogeny and taxol production

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer

Full-Length Transcriptome Analysis of Skeletal Muscle of Jiangquan Black Pig at Different Developmental Stages

International Journal of Molecular Sciences


This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Do Transformers Really Perform Bad for Graph Representation?

Graph Self-Supervised Learning: A Survey

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

Graph-based Molecular Representation Learning

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
  Molecular Graph Classification


MEND: Fast Model Editing at Scale

Editing Factual Knowledge in Language Models

Fast Model Editing at Scale

Editable Neural Networks

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge

Untying the Reversal Curse via Bidirectional Language Model Editing

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Model Editing Can Hurt General Abilities of Large Language Models

Neighboring Perturbations of Knowledge Editing on Large Language Models

Perturbation-Restrained Sequential Model Editing


Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Few-Shot Backdoor Attacks on Visual Object Tracking

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Backdoor Defense via Deconfounded Representation Learning

Backdoor Cleansing with Unlabeled Data

DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation

Fisher Information guided Purification against Backdoor Attacks


Scripts to estimate genome size and coverage from kmer distribution generated by jellyfish

Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

Resolving evolutionary relationships in lichen-forming fungi using diverse phylogenomic datasets and analytical approaches

The Genome Sequence of Alpine Megacarpaea delavayi Identifies Species-Specific Whole-Genome Duplication

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

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


A simple OpenAI Gym environment for Neural Architecture Search (NAS)

Non-line-of-Sight Imaging via Neural Transient Fields

Learning to reinforcement learn for Neural Architecture Search

VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning


All NLP experiments described in ArXiv paper 1904.02682

Advancing NLP with Cognitive Language Processing Signals

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals

Relation Classification with Cognitive Attention Supervision

Workshop on Cognitive Modeling and Computational Linguistics


Regularizing and Optimizing LSTM Language Models

Improving Neural Language Models with a Continuous Cache

Building Language Models for Text with Named Entities


Fuzzy Bag-of-Words Model for Document Representation

Sentiment Analysis of Turkish Political News

Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements

International Conference on e-Business Engineering

Sentiment analysis of big data applications using Twitter Data with the help of HADOOP framework

Collective Sentiment Mining of Microblogs in 24-Hour Stock Price Movement Prediction

N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

International Conference on Computing Communication and Networking Technologies

Announcement Based Stock Prediction

International Symposium on Computer, Consumer and Control

Qualitative Stock Market Predicting with Common Knowledge Based Nature Language Processing: A Unified View and Procedure

International Conference on Intelligent Human-Machine Systems and Cybernetics

A Bag of Words Approach for Semantic Segmentation of Monitored Scenes


High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper

Noise2Noise: Learning Image Restoration without Clean Data

Noise2Void - Learning Denoising from Single Noisy Images


BRITS: Bidirectional Recurrent Imputation for Time Series

Generative Semi-supervised Learning for Multivariate Time Series Imputation

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

Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning


Population genetic summary statistics

Genetic evidence for two founding populations of the Americas

The Demographic Development of the First Farmers in Anatolia

Rapid evolution of distinct Helicobacter pylori subpopulations in the Americas

Corded Ware cultural complexity uncovered using genomic and isotopic analysis from south-eastern Poland

Assessing genomic admixture between cryptic Plutella moth species following secondary contact

Genetic continuity and change among the Indigenous peoples of California


Demo code for the MDAN paper.

Unsupervised Domain Adaptation by Backpropagation

On Learning Invariant Representation for Domain Adaptation

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

Multi-source Attention for Unsupervised Domain Adaptation

Learning to Transfer with von Neumann Conditional Divergence

Ensemble Multi-Source Domain Adaptation with Pseudolabels

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation


CMU Document Grounded Conversation Dataset

A Dataset for Document Grounded Conversations

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment

∞-former: Infinite Memory Transformer

Contextual Knowledge Learning For Dialogue Generation


DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

To ChatGPT, or not to ChatGPT: That is the question!

GPT-who: An Information Density-based Machine-Generated Text Detector

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts

DEMASQ: Unmasking the ChatGPT Wordsmith


KoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch

KR-BERT: A Small-Scale Korean-Specific Language Model

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

Korean-to-Japanese Neural Machine Translation System using Hanja Information


Sampling Matters in Deep Embedding Learning

Multimodal Metric Learning for Tag-based Music Retrieval

Supervised and Unsupervised Learning of Audio Representations for Music Understanding


Code for Continual Learning of Context-dependent Processing in Neural Networks

Continual learning of context-dependent processing in neural networks

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

Continual Learning Based on OOD Detection and Task Masking


Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave

Real-Time Specular Highlight Removal Using Bilateral Filtering

Real-time highlight removal using intensity ratio.

A Survey of Specularity Removal Methods

Separation of reflection components by sparse non-negative matrix factorization

[papers] General Improvement Method of Specular Component Separation Using High-Emphasis Filter and Similarity Function

ITE Transactions on Media Technology and Applications

Analytical Survey of Highlight Detection in Color and Spectral Images

SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal

Specularity, Specular Reflectance


Datasets for the Monolingual Word Sense Alignment (MWSA) task

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

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

Monolingual Word Sense Alignment as a Classification Problem

Challenges of Word Sense Alignment: Portuguese Language Resources

Implementation of Supervised Training Approaches forMonolingual Word Sense Alignment:ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020

Zenodo (CERN European Organization for Nuclear Research)


A library for running membership inference attacks against ML models

Membership Inference Attacks against Machine Learning Models

Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data

Accurate Differentially Private Deep Learning on the Edge

IEEE Transactions on Parallel and Distributed Systems

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

Data Provenance via Differential Auditing


High-order countermeasures for AES and DES

Secure Wire Shuffling in the Probing Model

Reducing the Number of Non-linear Multiplications in Masking Schemes

Workshop on Cryptographic Hardware and Embedded Systems

Higher-Order Lookup Table Masking in Essentially Constant Memory

IACR Transactions on Cryptographic Hardware and Embedded Systems

PROLEAD_SW


Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf

Unlabeled Data Improves Adversarial Robustness

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Relating Adversarially Robust Generalization to Flat Minima

Adversarial Robustness via Fisher-Rao Regularization

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Improving Neural Network Robustness via Persistency of Excitation

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

Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing


Guided synteny alignment between duplicated genomes (within specified quota constraint)

The tomato genome sequence provides insights into fleshy fruit evolution

Screening synteny blocks in pairwise genome comparisons through integer programming

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand

Automated conserved non-coding sequence (CNS) discovery reveals differences in gene content and promoter evolution among grasses


Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"

DialFact: A Benchmark for Fact-Checking in Dialogue

How Robust are Fact Checking Systems on Colloquial Claims?

North American Chapter of the Association for Computational Linguistics

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification

International Conference on Computational Linguistics


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


PyTorch implementation of SAC-Discrete.

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Soft Actor-Critic for Discrete Action Settings

Addressing Action Oscillations through Learning Policy Inertia


DeepSphere: a graph-based spherical CNN (TensorFlow)

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

DeepSphere: a graph-based spherical CNN

DeepSphere: towards an equivariant graph-based spherical CNN

DeepSphere: a graph-based spherical CNN (ICLR'20 spotlight)


Efficient Markov Chain word alignment

Multilingual Projection for Parsing Truly Low-Resource Languages

Transactions of the Association for Computational Linguistics

Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering

Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools

Meeting of the Association for Computational Linguistics

CEA LIST: Processing Low-Resource Languages for CoNLL 2018


Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Inductive Logical Query Answering in Knowledge Graphs

Link Prediction without Graph Neural Networks


Human Emotion Understanding using multimodal dataset.

Attention Is All You Need

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Context-Aware Emotion Recognition Networks

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning


DAG-GNN: DAG Structure Learning with Graph Neural Networks

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Learning Sparse Nonparametric DAGs

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Ordering-Based Causal Discovery with Reinforcement Learning

Learning Neural Causal Models with Active Interventions

Differentiable DAG Sampling

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

Causal Adversarial Network for Learning Conditional and Interventional Distributions


[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Graph Self-Supervised Learning: A Survey

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

Augmentation-Free Self-Supervised Learning on Graphs

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

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

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

Geometric Graph Representation Learning via Maximizing Rate Reduction

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs)


RF-Score-VS - Random forest based protein-ligand scoring function for Virtual Screening

Performance of machine-learning scoring functions in structure-based virtual screening

In Silico Screening of Available Drugs Targeting Non-Small Cell Lung Cancer Targets: A Drug Repurposing Approach

Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy

Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer—Fragment Based Drug Design Strategy


This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

Scaling Instruction-Finetuned Language Models

Multimodal Chain-of-Thought Reasoning in Language Models

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models

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

You Only Look at Screens: Multimodal Chain-of-Action Agents

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks


Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Deep Ensembles: A Loss Landscape Perspective

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Laplace Redux - Effortless Bayesian Deep Learning

Laplace Redux -- Effortless Bayesian Deep Learning


Referring Expression Datasets API

Modeling Context in Referring Expressions

Unifying Vision-and-Language Tasks via Text Generation

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

Towards Language-Guided Visual Recognition via Dynamic Convolutions

Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation

Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics


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

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

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments

Hidden Biases in Unreliable News Detection Datasets

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

Utilizing Ensemble Learning for Detecting Multi-Modal Fake News


Implementation of CVPR 2016 paper

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Pointing Novel Objects in Image Captioning

ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning


Matlab and Python scripts for calculating functional coupling between time series data

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

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

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain

Catecholaminergic manipulation alters dynamic network topology across cognitive states

Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks

Catecholaminergic Manipulation Alters Dynamic Network Topology Across Behavioral States

Dynamic reconfiguration of macaque brain networks during natural vision

Parallel processing relies on a distributed, low-dimensional cortico-cerebellar architecture


On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs


Hierarchical Recurrent Encoder Decoder for Query Suggestion

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Neural information retrieval: at the end of the early years

What Can Task Teach Us About Query Reformulations?

Improving Sequential Query Recommendation with Immediate User Feedback


A learning curve benchmark on OpenML data

Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Explaining Hyperparameter Optimization via Partial Dependence Plots

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Scaling Laws for Hyperparameter Optimization


Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

NAS evaluation is frustratingly hard

Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search


An implementation of  "Community Preserving Network Embedding" (AAAI 2017)

Community Preserving Network Embedding

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Graph-based Semi-supervised Learning: A Comprehensive Review

LNEMLC: Label Network Embeddings for Multi-Label Classification


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion


G4Hunter (2012_2015)- IECB - Bordeaux

Promoter G-quadruplexes and transcription factors cooperate to shape the cell type-specific transcriptome

G4Hunter web application: a web server for G-quadruplex prediction

Genomic patterns of transcription-replication interactions in mouse primary B cells

Abundant capped RNAs are derived from mRNA cleavage at 3’UTR G-Quadruplexes


ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees

IEEE Transactions on Computational Imaging

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


Datasets of the daily Twitter output of Congress.

Identifying Morality Frames in Political Tweets using Relational Learning

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate

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

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media

Early detection of internet trolls: Introducing an algorithm based on word pairs / single words multiple repetition ratio

Modeling Behavioral Aspects of Social Media Discourse for Moral Classification

Understanding Troll Writing as a Linguistic Phenomenon

Self Promotion in US Congressional Tweets

Morality and the Glass Ceiling: How Elite Rhetoric Reflects Gendered Strategies and Perspectives


Distributionally robust neural networks for group shifts

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

Distributionally Robust Neural Networks

International Conference on Learning Representations

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Active Learning Helps Pretrained Models Learn the Intended Task

Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data

Provable Domain Generalization via Invariant-Feature Subspace Recovery

Learning to Split for Automatic Bias Detection

On the Foundations of Shortcut Learning

Discovering and Mitigating Visual Biases through Keyword Explanation

Towards Group Robustness in the presence of Partial Group Labels


Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning

Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Correcting Experience Replay for Multi-Agent Communication

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