A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO

Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys

High-throughput computation and structure prototype analysis for two-dimensional ferromagnetic materials

Distilling Accurate Descriptors from Multi-Source Experimental Data for Discovering Highly Active Perovskite OER Catalysts

SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparsifying Operator Approach

Data-driven equation for drug-membrane permeability across drugs and membranes.

Dimerization of sub-nanoscale molecular clusters affords broadly tuneable viscoelasticity above the glass transition temperature


REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

REBEL: Relation Extraction By End-to-end Language generation

Findings of the Association for Computational Linguistics: EMNLP 2021

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

Sequence Generation with Label Augmentation for Relation Extraction

Towards Relation Extraction From Speech

Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text


Optical Tweezers Toolbox (Version 1)

Optical Tweezers Exploring Neuroscience

Frontiers in bioengineering and biotechnology

Optical Trapping in a Dark Focus

Orientation of swimming cells with annular beam optical tweezers

OTSLM toolbox for Structured Light Methods

Inert Shell Coating for Enhanced Laser Refrigeration of Nanoparticles: Application in Levitated Optomechanics

Enhanced Signal-to-Noise and Fast Calibration of Optical Tweezers Using Single Trapping Events


Python package to study microbial communities using metabolic modeling.

MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota

Computational Modeling of the Human Microbiome

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

Systems Biology of Gut Microbiota-Human Receptor Interactions: Toward Anti-inflammatory Probiotics

Enabling rational gut microbiome manipulations by understanding gut ecology through experimentally-evidenced in silico models


Open-source, integrated optical modelling of complex stacks


JFact repository

The OWL Reasoner Evaluation (ORE) 2015 Competition Report

Optimizing Heuristics for Tableau-based OWL Reasoners

Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners


Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

An Optimistic Perspective on Offline Reinforcement Learning

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations


Concept Bottleneck Models, ICML 2020

Concept Bottleneck Models

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

Concept Bottleneck Model With Additional Unsupervised Concepts


Neural Question Generation using the SQuAD and NewsQA datasets

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Learning to Ask: Neural Question Generation for Reading Comprehension

Machine Comprehension by Text-to-Text Neural Question Generation


sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

Machine learning of accurate energy-conserving molecular force fields

Towards exact molecular dynamics simulations with machine-learned force fields

sGDML: Constructing accurate and data efficient molecular force fields using machine learning

Towards Linearly Scaling and Chemically Accurate Global Machine Learning Force Fields for Large Molecules


[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for
  Large-Scale Speech Generation

MER 2024: Semi-Supervised Learning, Noise Robustness, and
  Open-Vocabulary Multimodal Emotion Recognition

Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech

EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

HiDDeN: Hiding Data With Deep Networks

Image data hiding with multi-scale autoencoder network

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking

Image Data Hiding in Neural Compressed Latent Representations


Feature selection in neural networks

LassoNet: A Neural Network with Feature Sparsity

Where to Pay Attention in Sparse Training for Feature Selection?

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Neural interval-censored survival regression with feature selection

GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data

Effective Neural Network L_0 Regularization With BinMask

Interpretability with full complexity by constraining feature information

Feature Selection in the Contrastive Analysis Setting


ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.


Deep and Machine Learning for Microscopy

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

An Introduction to Variational Autoencoders

Foundations and Trends® in Machine Learning

Averaging Weights Leads to Wider Optima and Better Generalization

Deep Kernel Learning

Recent advances and applications of deep learning methods in materials science

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy.

AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

Exploring order parameters and dynamic processes in disordered systems via variational autoencoders

Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy

Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised machine learning


Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.

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

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship


Reviewer-paper matching for ACL

Simple and Effective Paraphrastic Similarity from Parallel Translations

Matching Papers and Reviewers at Large Conferences

A Gold Standard Dataset for the Reviewer Assignment Problem

Counterfactual Evaluation of Peer-Review Assignment Policies


SISTR (Salmonella In Silico Typing Resource) command-line tool

The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies

Typing methods based on whole genome sequencing data

Genomic characterization of invasive typhoidal and non-typhoidal Salmonella in southwestern Nigeria

Mobilome-driven partitions of the resistome in Salmonella

Prevalence and Antibiotic Resistance of Salmonella and Campylobacter Isolates from Raw Chicken Breasts in Retail Markets in the United States and Comparison to Data from the Plant Level

Carbapenem resistance in extensively drug-resistant Salmonella enterica serovar Agona and AmpC β-lactamase-producing S. Infantis

Rural Raccoons (Procyon lotor) Not Likely to Be a Major Driver of Antimicrobial Resistant Human Salmonella Cases in Southern Ontario, Canada: A One Health Epidemiological Assessment Using Whole-Genome Sequence Data

Serovar-level identification of bacterial foodborne pathogens from full-length 16S rRNA gene sequencing

Raw meat-based diet for pets: a neglected source of human exposure to Salmonella and pathogenic Escherichia coli clones carrying mcr, Portugal, September 2019 to January 2020


Creative Commons Attribution 4.0 International

Chemical Methods Ontology

NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

Establishing a Common Nutritional Vocabulary - From Food Production to Diet

Overview of chemical ontologies

Visual and Semantic Enrichment of Analytical Chemistry Literature Searches by Combining Text Mining and Computational Chemistry

Ontologies for increasing the FAIRness of plant research data

Structuring superconductor data with ontology: reproducing historical datasets as knowledge bases

Science and Technology of Advanced Materials: Methods


Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

Graph-based Approximate NN Search: A Revisit

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings

NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond


Research Code for  Multimodal-Cognition Team in Ant Group

Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning

Proceedings of the 31st ACM International Conference on Multimedia

SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks

IEEE transactions on circuits and systems for video technology

EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints

SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining


A Resistance Capacitance Model for an Energetic Simulation of a Building


Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Common 7B Language Models Already Possess Strong Math Capabilities

Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval:
  Evolving Coding Benchmarks via LLM

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Efficient Inference of Vision Instruction-Following Models with Elastic Cache

Xwin-LM: Strong and Scalable Alignment Practice for LLMs

AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models


Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

MAPIE: an open-source library for distribution-free uncertainty quantification

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Data-SUITE: Data-centric identification of in-distribution incongruous examples

Uncertainty Quantification 360: A Hands-on Tutorial

Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)

Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals

TRIAGE: Characterizing and auditing training data for improved regression


python Generator of REnewable Time series and mAps


Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

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

mixup: Beyond Empirical Risk Minimization

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Weight Uncertainty in Neural Networks

Averaging Weights Leads to Wider Optima and Better Generalization

Snapshot Ensembles: Train 1, get M for free

Evidential Deep Learning to Quantify Classification Uncertainty

A Simple Baseline for Bayesian Uncertainty in Deep Learning

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Measuring Calibration in Deep Learning


Openmano is an open source project that provides a practical implementation of the reference architecture for Management & Orchestration under standardization at ETSI’s NFV ISG

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

Integrated NFV/SDN Architectures: A Systematic Literature Review

SONATA: Service programming and orchestration for virtualized software networks

International Conference on Communications


PDEBench: An Extensive Benchmark for Scientific Machine Learning

Fourier Neural Operator for Parametric Partial Differential Equations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Multiple Physics Pretraining for Physical Surrogate Models

Learning Neural PDE Solvers with Parameter-Guided Channel Attention

PDEformer: Towards a Foundation Model for One-Dimensional Partial
  Differential Equations

Neural Operators with Localized Integral and Differential Kernels

Data-Efficient Operator Learning via Unsupervised Pretraining and
  In-Context Learning


Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers

Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens

Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks


Efficient analysis of spatial biodiversity datasets for global portfolios


On the Variance of the Adaptive Learning Rate and Beyond

Generative Feature-driven Image Replay for Continual Learning

Match What Matters: Generative Implicit Feature Replay for Continual Learning.


Multitask Environments for RL

Visual Reinforcement Learning with Imagined Goals

Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning

Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient

Learning to Reach Goals via Diffusion


Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

Perturbation CheckLists for Evaluating NLG Evaluation Metrics

Fairness Testing: A Comprehensive Survey and Analysis of Trends

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

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

Probing Speech Emotion Recognition Transformers for Linguistic Knowledge

On Robustness and Bias Analysis of BERT-Based Relation Extraction

Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task


InVivoTools a set of neurophysiology tools, forked from VanHooserTools, containing tools for visual stimulation and analysis of calcium imaging and extracellular electrophysiology data

Visual Cortex Limits Pop-Out in the Superior Colliculus of Awake Mice

Visual Processing by Calretinin Expressing Inhibitory Neurons in Mouse Primary Visual Cortex

Lack of functional specialization of neurons in the mouse primary visual cortex that have expressed calretinin

Contrast-Dependence of Temporal Frequency Tuning in Mouse V1

Thalamic regulation of ocular dominance plasticity in adult visual cortex


an open directory of mobility feeds and operators — powers both Transitland v1 and v2


The Llama 3 Herd of Models

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code
  Intelligence

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Scaling Synthetic Data Creation with 1,000,000,000 Personas

MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time


Conditional Diffusion Probabilistic Model for Speech Enhancement

Denoising Diffusion Probabilistic Models

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Noisy speech database for training speech enhancement algorithms and TTS models

A Study on Speech Enhancement Based on Diffusion Probabilistic Model

Noise-aware Speech Enhancement using Diffusion Probabilistic Model


Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Addressing Function Approximation Error in Actor-Critic Methods

Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera

Sample Efficient Ensemble Learning with Catalyst.RL


W-TALC: Weakly-supervised Temporal Activity Localization and Classification

VideoMix: Rethinking Data Augmentation for Video Classification

Person Re-identification Attack on Wearable Sensing


A simple notebook demonstrating prompt-based music generation via Mubert API

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

MuseCoco: Generating Symbolic Music from Text

Mustango: Toward Controllable Text-to-Music Generation

Sparks of Large Audio Models: A Survey and Outlook

Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models


Official code for "Bridging Video-text Retrieval with Multiple Choice Questions", CVPR 2022 (Oral).

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Confidence-Based Event-Centric Online Video Question Answering on a Newly Constructed ATBS Dataset


Neural architecture search(NAS)

DARTS: Differentiable Architecture Search

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

SNAS: Stochastic Neural Architecture Search


Flash2 has some improvements from flash_1 including new logic from innie and outie overlaps as well as some initial steps for flash for amplicons

Human Milk Microbial Community Structure Is Relatively Stable and Related to Variations in Macronutrient and Micronutrient Intakes in Healthy Lactating Women

Hfq CLASH uncovers sRNA-target interaction networks linked to nutrient availability adaptation

A Phylogenomic Approach Based on PCR Target Enrichment and High Throughput Sequencing: Resolving the Diversity within the South American Species of Bartsia L. (Orobanchaceae)

Delaying chloroplast turnover increases water-deficit stress tolerance through the enhancement of nitrogen assimilation in rice

Subtyping analysis reveals new variants and accelerated evolution of Clostridioides difficile toxin B

RNase III CLASH in MRSA uncovers sRNA regulatory networks coupling metabolism to toxin expression

Zenodo (CERN European Organization for Nuclear Research)

Fluidigm2PURC: automated processing and haplotype inference for double-barcoded PCR amplicons

Targeted gene disruption in a marsupial, Monodelphis domestica, by CRISPR/Cas9 genome editing

Unexpected binding behaviors of bacterial Argonautes in human cells cast doubts on their use as targetable gene regulators

Low recovery of bacterial community after an extreme salinization-desalinization cycle


StyleGAN - Official TensorFlow Implementation

A Style-Based Generator Architecture for Generative Adversarial Networks

Analyzing and Improving the Image Quality of StyleGAN

CNN-generated images are surprisingly easy to spot... for now

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Deep Learning for Deepfakes Creation and Detection: A Survey

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

What makes fake images detectable? Understanding properties that generalize

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models


Harmonization of multi-site imaging data with ComBat (Python)

Relevance of Dynamic 18F-DOPA PET Radiomics for Differentiation of High-Grade Glioma Progression from Treatment-Related Changes

Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation

Basal-Forebrain Cholinergic Nuclei Alterations are Associated With Medication and Cognitive Deficits Across the Schizophrenia Spectrum

Better Together

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies

Sex Differences in the Brain’s White Matter Microstructure during Development assessed using Advanced Diffusion MRI Models

bioRxiv : the preprint server for biology


Single-cell RNA-seq Gene Expression Recovery

SAVER: gene expression recovery for single-cell RNA sequencing

False signals induced by single-cell imputation

SAVER: Gene expression recovery for UMI-based single cell RNA sequencing

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification

Mouse Single Islet β Cell Transcriptomics Reveal Sexually Dimorphic Transcriptomes and Type 2 Diabetes Genes

scRNA‐seq data analysis method to improve analysis performance

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


Implementation of Visual Transformer for Small-size Datasets

Vision Transformer for Small-Size Datasets

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

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


A simple, continuous-control environment for OpenAI Gym

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Reinforcement Learning in Presence of Discrete Markovian Context Evolution

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

Iterative Oblique Decision Trees Deliver Explainable RL Models

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning


Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)

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

Making targeted black-box evasion attacks effective and efficient

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving


synthesiseable ieee 754 floating point library in verilog

Iodine: Verifying Constant-Time Execution of Hardware

CREST: Hardware Formal Verification with ANSI-C Reference Specifications

Solver-Aided Constant-Time Circuit Verification


Manual extraction of JWST NIRSpec spectra

Early Results from GLASS-JWST. XIV. A Spectroscopically Confirmed Protocluster 650 Million Years after the Big Bang

The nature of an ultra-faint galaxy in the cosmic dark ages seen with JWST

Closing in on the sources of cosmic reionization: first results from the GLASS-JWST program

Extreme N-emitters at high redshift: Possible signatures of supermassive stars and globular cluster or black hole formation in action

An Extremely Compact, Low-mass Galaxy on its Way to Quiescence at z = 5.2

Early Results from GLASS–JWST. XXI. Rapid Asembly of a Galaxy at z = 6.23 Revealed by Its C/O Abundance

Early Results from GLASS-JWST XXII: Rest frame UV-optical spectral properties of Lyman-alpha emitting galaxies at 3 lt; z lt; 6

JWST NIRSpec spectroscopy of the triply-lensed z = 10.17 galaxy MACS0647-JD

Early Results from GLASS-JWST. XXIII. The Transmission of Lyα from UV-faint z ∼ 3–6 Galaxies

The Puzzling Properties of the MACS1149-JD1 Galaxy at z = 9.11


92.45% on CIFAR-10 in Torch

Learning Efficient Convolutional Networks through Network Slimming

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Asynchronous Decentralized Parallel Stochastic Gradient Descent

Learn To Pay Attention

Contextual Explanation Networks

Filter Distillation for Network Compression

Disentangling Adaptive Gradient Methods from Learning Rates

Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation

GaDei: On Scale-up Training As A Service For Deep Learning

Improving Network Slimming with Nonconvex Regularization


Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

Embodied Neuromorphic Vision with Continuous Random Backpropagation

International Conference on Biomedical Robotics and Biomechatronics


An open science effort to benchmark legal reasoning in foundation models

On the Opportunities and Risks of Foundation Models

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

Learning to Generate Instruction Tuning Datasets for Zero-Shot Task
  Adaptation

Caveat Lector: Large Language Models in Legal Practice


An information security preparedness tool to do adversarial simulation.

SoK: A Survey of Open-Source Threat Emulators

Cyber Attack and Defense Emulation Agents

SoK: The MITRE ATT&CK Framework in Research and Practice

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer


A light RINA implementation. Documentation is available in REAME.md (see below).

Learning to Find Usages of Library Functions in Optimized Binaries

IEEE Transactions on Software Engineering

A P4-Enabled RINA Interior Router for Software-Defined Data Centers

Addressing Bandwidth-Driven Flow Allocationin RINA


A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

GIANT: Scalable Creation of a Web-scale Ontology

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

LTCR: Long-Text Chinese Rumor Detection Dataset


All image quality metrics you need in one package.

Misusing Tools in Large Language Models With Visual Adversarial Examples

Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

Markup-to-Image Diffusion Models with Scheduled Sampling

Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition

AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings

On the Efficacy of Metrics to Describe Adversarial Attacks


Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Deep Residual Learning for Image Recognition

R-Drop: Regularized Dropout for Neural Networks

Functional Adversarial Attacks

Decoupled Contrastive Learning

Convolutional Dynamic Alignment Networks for Interpretable Classifications

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning

Initialization and Regularization of Factorized Neural Layers

Understanding AdamW through Proximal Methods and Scale-Freeness

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction

Rare Gems: Finding Lottery Tickets at Initialization


Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis

Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial
  Narratives

Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering

Transactions of the Association for Computational Linguistics

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore


Spike sorting benchmarking system

An Emergent Neural Coactivity Code for Dynamic Memory

Integrating new memories into the hippocampal network activity space

Coordinating brain-distributed network activities in memory resistant to extinction


A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

FinBERT: A Pretrained Language Model for Financial Communications

FiNER: Financial Numeric Entity Recognition for XBRL Tagging

A Survey of Large Language Models in Finance (FinLLMs)

FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts


Scallop is a reference-based transcriptome assembler for RNA-seq

Accurate assembly of transcripts through phase-preserving graph decomposition

Quantifying the Benefit Offered by Transcript Assembly on Single-Molecule Long Reads

Scallop enables accurate assembly of transcripts through phasing-preserving graph decomposition

Performance evaluation of lossy quality compression algorithms for RNA-seq data


Robust evasion attacks against neural network to find adversarial examples

Towards Evaluating the Robustness of Neural Networks

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks

A game-based approximate verification of deep neural networks with provable guarantees

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization


ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.

ScienceWorld: Is your Agent Smarter than a 5th Grader?

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

A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld


Simple PDF text extraction

StarCoder 2 and The Stack v2: The Next Generation

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format

Journal of chemical information and modeling

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

Pilaster: A Collection of Citation Metadata Extracted From Publications on Visualization for the Digital Humanities

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments


Joint deep network for feature line detection and description

SOLD2: Self-supervised Occlusion-aware Line Description and Detection

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


A Multipurpose Library for Synthetic Time Series Generation in Python

Benchmarking Deep Learning Interpretability in Time Series Predictions

What went wrong and when? Instance-wise Feature Importance for Time-series Models

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

IEEE journal of biomedical and health informatics

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

On the Resilience of Biometric Authentication Systems against Random Inputs

Proceedings 2020 Network and Distributed System Security Symposium

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes

Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models


KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델

LLaMA: Open and Efficient Foundation Language Models

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

KoBBQ: Korean Bias Benchmark for Question Answering

CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in
  Korean

Optimizing Language Augmentation for Multilingual Large Language Models:
  A Case Study on Korean


Julia library for homological persistence

Ripserer.jl: flexible and efficient persistent homology computation in Julia

Discrete Morse Sandwich: Fast Computation of Persistence Diagrams for Scalar Data – An Algorithm and a Benchmark

Efficient two-parameter persistence computation via cohomology

Approximate Triangulations of Grassmann Manifolds

0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems


Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Code Prediction by Feeding Trees to Transformers

Adversarial Examples for Models of Code

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

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

Semantic Robustness of Models of Source Code

A Literature Study of Embeddings on Source Code

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Understanding neural code intelligence through program simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

On the Evaluation of Commit Message Generation Models: An Experimental Study

Backdoors in Neural Models of Source Code


A package to quickly visualise risk-of-bias assessment results

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

Strain-specific and outcome-specific efficacy of probiotics for the treatment of irritable bowel syndrome: A systematic review and meta-analysis

The Effects of Upper-Body Exoskeletons on Human Metabolic Cost and Thermal Response during Work Tasks—A Systematic Review

International journal of environmental research and public health

Use of Apps to Promote Childhood Vaccination: Systematic Review

The Effect of Telehealth on Hospital Services Use: Systematic Review and Meta-analysis

Therapeutic efficacy of umbilical cord-derived stem cells for diabetes mellitus: a meta-analysis study

Immersive Virtual Reality as Analgesia during Dressing Changes of Hospitalized Children and Adolescents with Burns: A Systematic Review with Meta-Analysis

Oral magnesium supplementation for insomnia in older adults: a Systematic Review & Meta-Analysis

Factors Influencing the Efficacy of COVID-19 Vaccines: A Quantitative Synthesis of Phase III Trials

The Role of Spinal Orthoses in Osteoporotic Vertebral Fractures of the Elderly Population (Age 60 Years or Older): Systematic Review


H2Lib public repository

hm-toolbox: Matlab software for HODLR and HSS matrices

Fast Approximate Computations with Cauchy Matrices and Polynomials

Boundary element methods for the wave equation based on hierarchical matrices and adaptive cross approximation

Modeling of Spatial Uncertainties in the Magnetic Reluctivity

CUR Low Rank Approximation at Deterministic Sublinear Cost


NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

NCRF++: An Open-source Neural Sequence Labeling Toolkit

Design Challenges and Misconceptions in Neural Sequence Labeling

We Need to Talk About Random Splits

Fast and Accurate Neural CRF Constituency Parsing

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

A Pragmatic Guide to Geoparsing Evaluation

Constituent Parsing as Sequence Labeling

Adaptive Self-training for Few-shot Neural Sequence Labeling

NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts


Library for graphical models of decision making, based on pgmpy and networkx

Agent Incentives: A Causal Perspective

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice

PyCID: A Python Library for Causal Influence Diagrams

Proceedings of the Python in Science Conferences

A Complete Criterion for Value of Information in Soluble Influence Diagrams


Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

SchNet - A deep learning architecture for molecules and materials.

Analyzing Learned Molecular Representations for Property Prediction

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism

Implementing graph neural networks with TensorFlow-Keras

MEGAN: Multi-Explanation Graph Attention Network


Fixes contractions such as `you're` to `you are`

Normalization of Indonesian-English Code-Mixed Twitter Data

Empirical Methods in Natural Language Processing

MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

A curated dataset for hate speech detection on social media text

Effects of Online Self-Disclosure on Social Feedback During the COVID-19 Pandemic

Sentiment Analysis of the COVID-related r/Depression Posts

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets

Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats

Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)


Normalizing flows in PyTorch

SBI -- A toolkit for simulation-based inference

Stochastic Normalizing Flows

Phase space sampling and inference from weighted events with autoregressive flows

Machine learning in solar physics

Full-shape analysis with simulation-based priors: constraints on single
  field inflation from BOSS

Systematic Evaluation of Generative Machine Learning Capability to Simulate Distributions of Observables at the Large Hadron Collider

Lagrangian Flow Networks for Conservation Laws

Causal Inference with Cocycles


OpenBuildingControl - Performance Evaluation, Specification, Deployment and Verification of Building Control Sequences


The consequences of climate change, especially the dry and hot summers, are putting a strain on Berlin's ecosystem. Our urban trees are drying out and suffering long-term damage. Gieß den Kiez is made to enable coordinated citizen participation in the irrigation of urban trees.


FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.

Scalable federated machine learning with FEDn

Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems

Hierarchical and Decentralised Federated Learning


A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Non-Autoregressive Machine Translation with Latent Alignments

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

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

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings

Hybrid-Regressive Neural Machine Translation

Hybrid-Regressive Paradigm for Accurate and Speed-Robust Neural Machine Translation

Findings of the Association for Computational Linguistics: ACL 2023

MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation

Findings of the Association for Computational Linguistics: ACL 2022

Con-NAT: Contrastive Non-autoregressive Neural Machine Translation

Findings of the Association for Computational Linguistics: EMNLP 2022


Automatically exported from code.google.com/p/rough-auditing-tool-for-security

Ranking Warnings of Static Analysis Tools Using Representation Learning

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?

Comparative Assessment of Static Analysis Tools for Software Vulnerability


Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Interpreting the Latent Space of GANs for Semantic Face Editing

Image2StyleGAN++: How to Edit the Embedded Images?

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Unconstrained Facial Expression Transfer using Style-based Generator


Representation learning on dynamic graphs using self-attention networks

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

Dynamic Graph Representation Learning via Self-Attention Networks

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Dynamic Graph Representation Learning via Graph Transformer Networks

Link prediction in dynamic networks using random dot product graphs

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming


Unsupervised Representation Learning by Predicting Image Rotations

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Unsupervised Representation Learning by Predicting Random Distances

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks

IEEE Transactions on Geoscience and Remote Sensing

A Survey on Self-Supervised Representation Learning


A Unified MRC Framework for Named Entity Recognition

GPT-NER: Named Entity Recognition via Large Language Models

Dependency Parsing as MRC-based Span-Span Prediction


Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Multiagent Cooperation and Competition with Deep Reinforcement Learning

Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients


Adversarial Discriminative Domain Adaptation

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data


CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

PG-GSQL: Pointer-Generator Network with Guide Decoding for Cross-Domain Context-Dependent Text-to-SQL Generation

International Conference on Computational Linguistics


Tensorflow implementation of Learning-based Video Motion Magnification

Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep Learning

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.


Deep-learning models of NTUA-SLP team  submitted in SemEval 2018 tasks 1, 2 and 3.

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention

TERMS: textual emotion recognition in multidimensional space

Applied intelligence (Dordrecht, Netherlands)

Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline

THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation

North American Chapter of the Association for Computational Linguistics

Making Your Tweets More Fancy: Emoji Insertion to Texts

Recent Advances in Natural Language Processing

Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies


The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

An attempt at beating the 3D U-Net

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

2.5D MFFAU-Net: a convolutional neural network for kidney segmentation

BMC medical informatics and decision making

Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

Medical science monitor : international medical journal of experimental and clinical research


Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

Local Self-Attention over Long Text for Efficient Document Retrieval

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking

Selective Weak Supervision for Neural Information Retrieval

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

Mitigating the Position Bias of Transformer Models in Passage Re-Ranking

Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling


Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

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

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

Deformable Convolutional Networks

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Light-Head R-CNN: In Defense of Two-Stage Object Detector


A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

The Geometry of Deep Generative Image Models and its Applications

This dataset does not exist: training models from generated images

Further Analysis of Outlier Detection with Deep Generative Models

KDEformer: Accelerating Transformers via Kernel Density Estimation

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

FairyTailor: A Multimodal Generative Framework for Storytelling

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent

Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection

Generator Surgery for Compressed Sensing

Transfer Learning with Pre-trained Conditional Generative Models


The Dynamic Embedded Topic Model

Topic Modeling in Embedding Spaces

What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha

Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method


Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition

IEEE Transactions on Affective Computing

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

A Comprehensive Review on Lane Marking Detection Using Deep Neural Networks

Data selection for efficient model update in federated learning


Deepfilternet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio

HGCN: Harmonic gated compensation network for speech enhancement

Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement

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

Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation

DDS: A new device-degraded speech dataset for speech enhancement


[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters

Unsupervised Long-Term Person Re-Identification with Clothes Change


PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.

LLaMA: Open and Efficient Foundation Language Models

Instruction Tuning for Large Language Models: A Survey

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Benchmarking and Boosting Radiology Report Generation for 3D
  High-Resolution Medical Images


NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data


IGRINS pipeline package v3

ZODIACAL EXOPLANETS IN TIME (ZEIT). III. A SHORT-PERIOD PLANET ORBITING A PRE-MAIN-SEQUENCE STAR IN THE UPPER SCORPIUS OB ASSOCIATION

ZODIACAL EXOPLANETS IN TIME (ZEIT). I. A NEPTUNE-SIZED PLANET ORBITING AN M4.5 DWARF IN THE HYADES STAR CLUSTER

A solar C/O and sub-solar metallicity in a hot Jupiter atmosphere

ZODIACAL EXOPLANETS IN TIME (ZEIT). IV. SEVEN TRANSITING PLANETS IN THE PRAESEPE CLUSTER

A CANDIDATE YOUNG MASSIVE PLANET IN ORBIT AROUND THE CLASSICAL T TAURI STAR CI TAU

Zodiacal Exoplanets in Time (ZEIT). VI. A Three-planet System in the Hyades Cluster Including an Earth-sized Planet

Magnetic Inflation and Stellar Mass. II. On the Radii of Single, Rapidly Rotating, Fully Convective M-Dwarf Stars

TESS Hunt for Young and Maturing Exoplanets (THYME). VI. An 11 Myr Giant Planet Transiting a Very-low-mass Star in Lower Centaurus Crux

Planets Around Low-Mass Stars (PALMS). VI. Discovery of a Remarkably Red
  Planetary-Mass Companion to the AB Dor Moving Group Candidate 2MASS
  J22362452+4751425

Zodiacal exoplanets in time (ZEIT) - II. A 'super-Earth' orbiting a young K dwarf in the Pleiades Neighbourhood

Monthly Notices of the Royal Astronomical Society


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


Numbers Station Text to SQL model code.

A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases

Enhancing Text-to-SQL Translation for Financial System Design

Fine-Tuning Language Models for Context-Specific SQL Query Generation


IRGAN SIGIR paper experimental code

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Adversarial Sampling and Training for Semi-Supervised Information Retrieval

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

Sampling-Decomposable Generative Adversarial Recommender

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

Leveraging Long and Short-term Information in Content-aware Movie Recommendation


A toolbox for comparative genomics.

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

Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.)

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

Assembly of hundreds of novel bacterial genomes from the chicken caecum

Phylogenomic Analysis of the Gammaproteobacterial Methanotrophs (Order Methylococcales) Calls for the Reclassification of Members at the Genus and Species Levels

Methanotrophy across a natural permafrost thaw environment

Comparative genomics reveals electron transfer and syntrophic mechanisms differentiating methanotrophic and methanogenic archaea

Comparative Genomics of Candidate Phylum TM6 Suggests That Parasitism Is Widespread and Ancestral in This Lineage

New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes

Prokaryotic viruses impact functional microorganisms in nutrient removal and carbon cycle in wastewater treatment plants


A standalone end-to-end data analysis pipeline for Duplex Sequencing

The multi-tissue landscape of somatic mtDNA mutations indicates tissue-specific accumulation and removal in aging

A replication-linked mutational gradient drives somatic mutation accumulation and influences germline polymorphisms and genome composition in mitochondrial DNA

Resistance of mitochondrial DNA to cadmium and Aflatoxin B1 damage-induced germline mutation accumulation in C. elegans

Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer


Expanded STR algorithm for Illumina sequencing data

Bioinformatics-Based Identification of Expanded Repeats: A Non-reference Intronic Pentamer Expansion in RFC1 Causes CANVAS

Detecting tandem repeat expansions in cohorts sequenced with short-read sequencing data

Unexpected diagnosis of myotonic dystrophy type 2 repeat expansion by genome sequencing

European journal of human genetics : EJHG


K2 systematics correction using Gaussian processes

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

Transiting exoplanet candidates from K2 Campaigns 5 and 6

Characterizing K2 Candidate Planetary Systems Orbiting Low-mass Stars. II. Planetary Systems Observed During Campaigns 1–7

Beyond the Kepler/K2 bright limit: Variability in the seven brightest members of the Pleiades

Flares in open clusters with K2

A Universal Spin-Mass Relation for Brown Dwarfs and Planets

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


Matlab and Python toolbox for fast Total Variation proximity operators

Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting

A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices

Total Variation Optimization Layers for Computer Vision

Learning to solve TV regularised problems with unrolled algorithms

A unified analysis of convex and non-convex lp-ball projection problems


PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Unsupervised Paraphrasing by Simulated Annealing

A Stable Variational Autoencoder for Text Modelling

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Text Morphing

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


The StarCraft Multi-Agent Challenge

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


AMPtk: Amplicon ToolKit for NGS data (formally UFITS)

Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data

Antarctic Cryptoendolithic Fungal Communities Are Highly Adapted and Dominated by Lecanoromycetes and Dothideomycetes

Zenodo (CERN European Organization for Nuclear Research)

Microbes and associated soluble and volatile chemicals on periodically wet household surfaces

A single test approach for accurate and sensitive detection and taxonomic characterization of Trypanosomes by comprehensive analysis of internal transcribed spacer 1 amplicons

Endolithic Fungal Species Markers for Harshest Conditions in the McMurdo Dry Valleys, Antarctica

Uncovered Microbial Diversity in Antarctic Cryptoendolithic Communities Sampling Three Representative Locations of the Victoria Land

Culture-Dependent and Amplicon Sequencing Approaches Reveal Diversity and Distribution of Black Fungi in Antarctic Cryptoendolithic Communities

Amplicon-Based Sequencing of Soil Fungi from Wood Preservative Test Sites

Amplicon Sequencing of Rock-Inhabiting Microbial Communities from Joshua Tree National Park, USA

Snow Surface Microbial Diversity at the Detection Limit within the Vicinity of the Concordia Station, Antarctica


CityGML 3.0 Conceptional Model

Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

ISPRS International Journal of Geo-Information

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model

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

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

A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications

Versioning of 3D City Models for Municipality Applications: Needs, Obstacles and Recommendations

COMBINED MODELLING OF MULTIPLE TRANSPORTATION INFRASTRUCTURE WITHIN 3D CITY MODELS AND ITS IMPLEMENTATION IN CITYGML 3.0


PCAtools: everything Principal Components Analysis

Itaconate and derivatives reduce interferon responses and inflammation in influenza A virus infection

Myelin insulation as a risk factor for axonal degeneration in autoimmune demyelinating disease

Differential expressions of anthocyanin synthesis genes underlie flower color divergence in a sympatric Rhododendron sanguineum complex

Systems level profiling of chemotherapy-induced stress resolution in cancer cells reveals druggable trade-offs

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

Analysis of systemic epigenetic alterations in inflammatory bowel disease: defining geographical, genetic, and immune-inflammatory influences on the circulating methylome

Integrated Analysis of a Risk Score System Predicting Prognosis and a ceRNA Network for Differentially Expressed lncRNAs in Multiple Myeloma

Diversity and Differential Expression of MicroRNAs in the Human Skeletal Muscle with Distinct Fiber Type Composition

Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR

Transposable elements are associated with the variable response to influenza infection

Gene expression patterns of red sea urchins (Mesocentrotus franciscanus) exposed to different combinations of temperature and pCO2 during early development


XRay Estimation and Refinement Using Similarity (XERUS)

GSAS-II: the genesis of a modern open-source all purpose crystallography software package

Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries

Automated crystal structure analysis based on blackbox optimisation

XERUS: An Open‐Source Tool for Quick XRD Phase Identification and Refinement Automation


MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies

Universal whole-sequence-based plasmid typing and its utility to prediction of host range and epidemiological surveillance

Analysis of COMPASS, a New Comprehensive Plasmid Database Revealed Prevalence of Multireplicon and Extensive Diversity of IncF Plasmids

Epidemiology of Plasmids in Escherichia coli and Klebsiella pneumoniae with Acquired Extended Spectrum Beta-Lactamase Genes Isolated from Chronic Wounds in Ghana

Comparative Genomic Analysis of Enterococci across Sectors of the One Health Continuum

Dissection of Highly Prevalent qnrS1-Carrying IncX Plasmid Types in Commensal Escherichia coli from German Food and Livestock

Antibiotic resistance begets more resistance: chromosomal resistance mutations mitigate fitness costs conferred by multi-resistant clinical plasmids

Molecular Evolution and Genomic Insights into Community-Acquired Methicillin-Resistant Staphylococcus aureus Sequence Type 88

Raw meat-based diet for pets: a neglected source of human exposure to Salmonella and pathogenic Escherichia coli clones carrying mcr, Portugal, September 2019 to January 2020

Genomic Characterization of Carbapenem-Resistant Bacteria from Beef Cattle Feedlots


Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

From Louvain to Leiden: guaranteeing well-connected communities

CDLIB: a python library to extract, compare and evaluate communities from complex networks

Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths

Analysis and Visualization of Spatial Transcriptomic Data

Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities

Information Consumption and Boundary Spanning in Decentralized Online Social Networks: the case of Mastodon Users

Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Northstar enables automatic classification of known and novel cell types from tumor samples

A quantitative view of the structure of institutional scientific collaborations using the example of Berlin


A Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Russian trolls speaking Russian: Regional Twitter operations and MH17

Towards annotation of text worlds in a literary work


Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

gradSim: Differentiable simulation for system identification and visuomotor control

Gradients are Not All You Need

Interactive Differentiable Simulation

Efficient Differentiable Simulation of Articulated Bodies

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap

Inferring Articulated Rigid Body Dynamics from RGBD Video

Differentiable and Learnable Robot Models

Certifiable Robot Design Optimization using Differentiable Programming

Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)

Differentiable Forward Kinematics for TensorFlow 2


Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Scaling Laws for Hyperparameter Optimization


A scikit-learn compatible library for graph kernels

GraKeL: A Graph Kernel Library in Python

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification

The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Distance metric learning for graph structured data

State of the Art and Potentialities of Graph-level Learning

Fast Topological Clustering with Wasserstein Distance


robomimic: A Modular Framework for Robot Learning from Demonstration

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

When should we prefer Decision Transformers for Offline Reinforcement Learning?


Gym environments and agents for autonomous driving.

BARK: Open Behavior Benchmarking in Multi-Agent Environments

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving

Causal Reinforcement Learning: A Survey

Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving.


C# Data Collector for BloodHound

Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion


Python Geometrical Morphing

Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems

Advanced modeling and simulation in engineering sciences

Combined Parameter and Model Reduction of Cardiovascular Problems by Means of Active Subspaces and POD-Galerkin Methods

A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces

Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition

An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

Advances in reduced order methods for parametric industrial problems in computational fluid dynamics

A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics

An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations

Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces


Distributed version of Spring Petclinic built with Spring Cloud

A Microservice Decomposition Method Through Using Distributed Representation of Source Code

Scalable Computing: Practice and Experience

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

Handling Communication via APIs for Microservices

CATMA: Conformance Analysis Tool For Microservice Applications

Collaborative, Code-Proximal Dynamic Software Visualization within Code Editors

Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses


Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

Persistent white matter changes in recovered COVID-19 patients at the 1-year follow-up

Disruption of neurite morphology parallels MS progression

Neurology(R) neuroimmunology & neuroinflammation

Tau-related white-matter alterations along spatially selective pathways

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization

Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework

White Matter Abnormalities and Cognitive Deficit After Mild Traumatic Brain Injury: Comparing DTI, DKI, and NODDI

The Myelin‐Weighted Connectome in Parkinson's Disease

Movement disorders : official journal of the Movement Disorder Society


DESI Targeting

The DESI Experiment Part II: Instrument Design

The Early Data Release of the Dark Energy Spectroscopic Instrument

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

Survey Operations for the Dark Energy Spectroscopic Instrument

Correcting for fibre assignment incompleteness in the DESI Bright Galaxy Survey

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor

Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey

Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys

Baryon acoustic oscillations in the projected cross-correlation function between the eBOSS DR16 quasars and photometric galaxies from the DESI Legacy Imaging Surveys

DESI Legacy Imaging Surveys Data Release 9: Cosmological constraints from galaxy clustering and weak lensing using the minimal bias model

中国科学. 物理学 力学 天文学


Apache Mesos

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

On Byzantine fault tolerance in multi-master Kubernetes clusters

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels


[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation

Medical Image Segmentation with Domain Adaptation: A Survey

SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation


Python scripts for matching output of Pacific Biosciences IsoSeq RNA-seq pipeline to an annotation file.

Plant 24-nt reproductive phasiRNAs from intramolecular duplex mRNAs in diverse monocots

Combining next-generation sequencing and single-molecule sequencing to explore brown plant hopper responses to contrasting genotypes of japonica rice

PacBio single molecule long-read sequencing provides insight into the complexity and diversity of the Pinctada fucata martensii transcriptome

SMRT sequencing analysis reveals the full-length transcripts and alternative splicing patterns in Ananas comosus var. bracteatus

Genetic and Epigenetic Changes Are Rapid Responses of the Genome to the Newly Synthesized Autotetraploid Carassius auratus


Rphenograph: R implementation of the PhenoGraph algorithm

Dimensionality reduction for visualizing single-cell data using UMAP

Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline

Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity

Spatial predictors of immunotherapy response in triple-negative breast cancer

ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections

Computational and structural biotechnology journal

Assessment of Automated Flow Cytometry Data Analysis Tools within Cell and Gene Therapy Manufacturing

International journal of molecular sciences

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

bioRxiv : the preprint server for biology

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

Intestinal stroma guides monocyte differentiation to macrophages through GM-CSF


Tools for extracting read counts and gc and mappability statistics in preparation for running HMMCopy.

Analysis pipelines for cancer genome sequencing in mice

MAVS Antagonizes Human Stem Cell Senescence as a Mitochondrial Stabilizer

Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential

CRISPR-based screening identifies XPO7 as a positive regulator of senescence


Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Better Diffusion Models Further Improve Adversarial Training

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

A Recipe for Watermarking Diffusion Models

One-step Diffusion with Distribution Matching Distillation

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Analyzing and Improving the Training Dynamics of Diffusion Models

Minimizing Trajectory Curvature of ODE-based Generative Models

Denoising Diffusion Autoencoders are Unified Self-supervised Learners


EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking

Integration of pre-trained protein language models into geometric deep learning networks

Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer

Learning Harmonic Molecular Representations on Riemannian Manifold

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction


Weakly Supervised Learning for Findings Detection in Medical Images

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

International Journal of Computer Vision

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Learning to diagnose from scratch by exploiting dependencies among labels


An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Keep it Simple: Image Statistics Matching for Domain Adaptation

OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation

Rotation-Invariant and Relation-Aware Cross-Domain Adaptation Object Detection Network for Optical Remote Sensing Images


A library that implements fairness-aware machine learning algorithms

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

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

Learning to Navigate in Cities Without a Map

TorchBeast: A PyTorch Platform for Distributed RL

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning


Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

Meeting of the Association for Computational Linguistics

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

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

GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language

The International FLAIRS Conference Proceedings


Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

What Does BERT with Vision Look At?

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning

Does Vision-and-Language Pretraining Improve Lexical Grounding?

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

What Vision-Language Models `See' when they See Scenes

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions


Data for the 2014 ebola outbeak in West Africa

Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia

Early Epidemic Dynamics of the West African 2014 Ebola Outbreak: Estimates Derived with a Simple Two-Parameter Model

Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola

Mathematical modeling of the West Africa Ebola epidemic

Modeling Post-death Transmission of Ebola: Challenges for Inference and Opportunities for Control

A Modified SEIR Model for the Spread of Ebola in Western Africa and Metrics for Resource Allocation

Phylodynamic Analysis of Ebola Virus in the 2014 Sierra Leone Epidemic

Make Data Sharing Routine to Prepare for Public Health Emergencies

Technology to advance infectious disease forecasting for outbreak management

Modeling the transmission dynamics of Ebola virus disease in Liberia


Simple FASTQ quality assessment using Python

Legume genomics and transcriptomics: From classic breeding to modern technologies

Transcriptome Profiling Reveals Important Transcription Factors and Biological Processes in Skin Regeneration Mediated by Mechanical Stretch

Proteotranscriptomics – A facilitator in omics research

Deciphering Key Foreign Body Reaction-Related Transcription Factors and Genes Through Transcriptome Analysis


Train ImageNet *fast* in 500 lines of code with FFCV

Fixing the train-test resolution discrepancy

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

On the interplay of adversarial robustness and architecture components: patches, convolution and attention

A picture of the space of typical learnable tasks

A Unified Approach to Controlling Implicit Regularization via Mirror Descent


A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

The VoicePrivacy 2022 Challenge Evaluation Plan

Joint Masked CPC and CTC Training for ASR

Simple and Effective Unsupervised Speech Translation

Automatic Speaking Assessment of Spontaneous L2 Finnish and Swedish

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

mHuBERT-147: A Compact Multilingual HuBERT Model


A nextflow version of the Wochenende reference metagenome binning and visualization pipeline

The Cystic Fibrosis Upper and Lower Airway Metagenome

Wochenende - modular and flexible alignment-based shotgun metagenome analysis

Sputum metagenomics of people with bronchiectasis

Gut microbiota depletion delays somatic peripheral nerve development and impairs neuromuscular junction maturation


An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).


Active Learning for Convolutional Neural Networks: A Core-Set Approach

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Discriminative Active Learning

Active Discriminative Text Representation Learning

Scalable k-Means Clustering via Lightweight Coresets

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Similarity Search for Efficient Active Learning and Search of Rare Concepts

Small-Text: Active Learning for Text Classification in Python


Memory Networks implementations

End-To-End Memory Networks

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

Adding Gradient Noise Improves Learning for Very Deep Networks

Tracking the World State with Recurrent Entity Networks

Deep Reinforcement Learning

A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation

Dialogue Learning With Human-In-The-Loop

Learning through Dialogue Interactions by Asking Questions

GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

Teaching Machines to Converse


LaTeX source for the paper "On Evaluating Adversarial Robustness"

On Evaluating Adversarial Robustness

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

IEEE Communications Surveys and Tutorials

Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks


An extended genotyping framework for Salmonella enterica serovar Typhi, the cause of human typhoid

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Dynamics of antimicrobial resistance in intestinal Escherichia coli from children in community settings in South Asia and sub-Saharan Africa

A Population-Based Descriptive Atlas of Invasive Pneumococcal Strains Recovered Within the U.S. During 2015–2016

Global Scale Dissemination of ST93: A Divergent Staphylococcus aureus Epidemic Lineage That Has Recently Emerged From Remote Northern Australia

Molecular epidemiology in current times

Analysis of Complete Genome Sequence of Acinetobacter baumannii Strain ATCC 19606 Reveals Novel Mobile Genetic Elements and Novel Prophage

Use of genomics to design a diagnostic assay to discriminate between Streptococcus pneumoniae and Streptococcus pseudopneumoniae

Population genomics of emerging Elizabethkingia anophelis pathogens reveals potential outbreak and rapid global dissemination

Phenotypic and genotypic features of the Mycobacterium tuberculosis lineage 1 subgroup in central Vietnam


PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Investigating Why Contrastive Learning Benefits Robustness Against Label Noise

Extending Contrastive Learning to Unsupervised Coreset Selection

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

Simple Disentanglement of Style and Content in Visual Representations


[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Towards Incremental Learning in Large Language Models: A Critical Review


An R package for biomass estimation at extratropical forest plots.


LIO_SAM for 6-axis IMU and  GNSS.

PALoc: Advancing SLAM Benchmarking With Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search


Software to Manipulate Different Flavors of Semantic Graphs

MRP 2019: Cross-Framework Meaning Representation Parsing

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing

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

North American Chapter of the Association for Computational Linguistics

SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing

Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

Speeding up quantum circuits simulation using ZX-Calculus

Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing

Conference of the European Chapter of the Association for Computational Linguistics

How much of UCCA can be predicted from AMR?

A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing

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


RISC-V Virtual Prototype


Automagic

ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading

CogniVal: A Framework for Cognitive Word Embedding Evaluation

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing

Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans

Neural dynamics of sentiment processing during naturalistic sentence reading

The dynamic modular fingerprints of the human brain at rest

HD-EEG for tracking sub-second brain dynamics during cognitive tasks

A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states


Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Membership Inference Attacks From First Principles

Enhanced Membership Inference Attacks against Machine Learning Models

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


GBBS: Graph Based Benchmark Suite

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

SPAA'18: PROCEEDINGS OF THE 30TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs

Parallel Batch-Dynamic k-Clique Counting

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time

Parallel Index-Based Structural Graph Clustering and Its Approximation

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

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments


A Julia/JuMP Package for Water Distribution Network Optimization

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks

Exact Mixed-integer Convex Programming Formulation for Optimal Water Network Design.


Lightweight Python interface to read Les Houches Event (LHE) files

FLArE up dark sectors with EM form factors at the LHC forward physics facility

Constraints on the trilinear and quartic Higgs couplings from triple Higgs production at the LHC and beyond

Exploring interference effects between two ALP effective operators at
  the LHC


A benchmark library for Dynamic Algorithm Configuration.

Towards Green Automated Machine Learning: Status Quo and Future Directions

Automated Dynamic Algorithm Configuration

DACBench: A Benchmark Library for Dynamic Algorithm Configuration


A grounder and solver for logic programs.

Multi-shot ASP solving with clingo

How to build your own ASP-based system?!

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots

Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+

Automated Verification of Equivalence Properties in Advanced Logic Programs -- Bachelor Thesis

A tool for compiling Declarative Process Mining problems in ASP

Automated Creation of Expert Systems with the InteKRator Toolbox

Studies in health technology and informatics

Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization


Python Framework to analyse Git repositories

PyDriller: Python Framework for Mining Software Repositories

Zenodo (CERN European Organization for Nuclear Research)

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

Predictive Models in Software Engineering

Evaluating SZZ Implementations Through a Developer-informed Oracle

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

Are Game Engines Software Frameworks? A Three-perspective Study

Code Smells in Machine Learning Systems

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

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

Exploring multi-programming-language commits and their impacts on software quality: An empirical study on Apache projects

Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review


Data, Benchmarks, and methods submitted to the M4 forecasting competition

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Time Series Data Augmentation for Deep Learning: A Survey

PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021

Forecasting: theory and practice

Weighted ensemble of statistical models

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Estimating Attention Flow in Online Video Networks

Topological Attention for Time Series Forecasting

The future of forecasting competitions: Design attributes and principles

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


Repository for the open-source lethe CFD/DEM/CFD-DEM project

Lethe-DEM: an open-source parallel discrete element solver with load balancing

Toward High-Order CFD-DEM: Development and Validation

Load-Balancing Strategies in Discrete Element Method Simulations


EANN: event-adversarial neural networks for multi-modal fake news detection

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detecting fake news by exploring the consistency of multimodal data

Multimodal Emergent Fake News Detection via Meta Neural Process Networks

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Fact-Enhanced Synthetic News Generation

GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media


predicting expression effects of human genome variants ab initio from sequence

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

GWAS of five gynecologic diseases and cross-trait analysis in Japanese

European journal of human genetics : EJHG

Evaluating the informativeness of deep learning annotations for human complex diseases

Identification and Interpretation of eQTL and eGenes for Hodgkin Lymphoma Susceptibility

Decoding differential gene expression


Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Deep Evidential Regression

The Unreasonable Effectiveness of Deep Evidential Regression

Quantifying uncertainty of machine learning methods for loss given default

Frontiers in Applied Mathematics and Statistics

Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning


Matlab implementation of the ECO tracker.

ECO: Efficient Convolution Operators for Tracking

ATOM: Accurate Tracking by Overlap Maximization

Learning Discriminative Model Prediction for Tracking

Synthetic data generation for end-to-end thermal infrared tracking

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

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Benchmarking Deep Trackers on Aerial Videos


CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


Implementation of R-GCNs for Relational Link Prediction

Modeling Relational Data with Graph Convolutional Networks

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

Relational Graph Convolutional Networks: A Closer Look


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

Q# as a Quantum Algorithmic Language

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

Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models

Multithreaded parallelism for heterogeneous clusters of QPUs