Geometric Computer Vision Library for Spatial AI

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Focal Loss for Dense Object Detection

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Segment Anything

Loss Functions for Neural Networks for Image Processing

LoFTR: Detector-Free Local Feature Matching with Transformers

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

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Making Convolutional Networks Shift-Invariant Again


Research. Shared.

Computing Linear Restrictions of Neural Networks

The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers

Software publications with rich metadata: state of the art, automated workflows and HERMES concept

FAIREST: A Framework for Assessing Research Repositories

Catalog and Entity Management Service for Internet of Things-Based Smart Environments

Signing data citations enables data verification and citation persistence

DataVault: a data storage infrastructure for the Einstein Toolkit

Subcellular protein localisation of Trypanosoma brucei bloodstream form-upregulated proteins maps stage-specific adaptations


中文生成式预训练模型

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems

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

Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations

Dialogue Rewriting via Skeleton-Guided Generation

Proceedings of the AAAI Conference on Artificial Intelligence

Natural Response Generation for Chinese Reading Comprehension


GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

A Survey on Neural Speech Synthesis

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames

SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder

Mel Spectrogram Inversion with Stable Pitch

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss


Heterogeneous Graph Neural Network

Graph Neural Networks: A Review of Methods and Applications

Heterogeneous Graph Attention Network

Deep Learning on Graphs: A Survey

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

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

Multiplex Heterogeneous Graph Convolutional Network

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

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding


[ICCV 2019] Monocular depth estimation from a single image

Digging Into Self-Supervised Monocular Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

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

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Integrative Few-Shot Classification and Segmentation for Landslide Detection

M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments

Learning Structured Gaussians to Approximate Deep Ensembles


MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

MIMIC-Extract

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data

Journal of the American Medical Informatics Association : JAMIA

Healthsheet: Development of a Transparency Artifact for Health Datasets

Benchmarking Distribution Shift in Tabular Data with TableShift

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning


Simu5G - 5G NR and LTE/LTE-A user-plane simulation model for OMNeT++ & INET

Deployment and configuration of MEC apps with Simu5G

Platooning-as-a-Service in a Multi-Operator ETSI MEC Environment


An automated RNA-seq pipeline using Nextflow

Dynamic changes in intron retention are tightly associated with regulation of splicing factors and proliferative activity during B-cell development

Targeted De-Methylation of the FOXP3-TSDR Is Sufficient to Induce Physiological FOXP3 Expression but Not a Functional Treg Phenotype

Brain transcriptomic profiling reveals common alterations across neurodegenerative and psychiatric disorders

Human IgA-Expressing Bone Marrow Plasma Cells Characteristically Upregulate Programmed Cell Death Protein-1 Upon B Cell Receptor Stimulation

bsAS, an antisense long non-coding RNA, essential for correct wing development through regulation of blistered/DSRF isoform usage

The histone code reader PHD finger protein 7 controls sex-linked disparities in gene expression and malignancy in Drosophila

Prolactin-sensitive olfactory sensory neurons regulate male preference in female mice by modulating responses to chemosensory cues


Turn OpenStreetMap data and schedule information into GTFS


PyTorch deep learning models for document classification

Regularizing and Optimizing LSTM Language Models

DocBERT: BERT for Document Classification

Rethinking Complex Neural Network Architectures for Document Classification

North American Chapter of the Association for Computational Linguistics

Document Classification for COVID-19 Literature

Stance Prediction for Contemporary Issues: Data and Experiments

Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT

Workshop on Representation Learning for NLP

SUMSUM@FNS-2020 Shared Task

Efficient Document Image Classification Using Region-Based Graph Neural Network

From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation

Showing Your Work Doesn't Always Work


BISulfite-seq CUI Toolkit

Unique DNA Methylation Profiles Are Associated with cis-Variation in Honey Bees

Remethylation of Dnmt3a −/− hematopoietic cells is associated with partial correction of gene dysregulation and reduced myeloid skewing

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

Experimental Parasite Infection Causes Genome-Wide Changes in DNA Methylation

Genome-Wide Variation in DNA Methylation Predicts Variation in Leaf Traits in an Ecosystem-Foundational Oak Species

High Nucleotide Diversity Accompanies Differential DNA Methylation in Naturally Diverging Populations


EU's  Type-Approving vehicle simulator predicting NEDC CO2 emissions from WLTP


the pangenome graph builder

Graph pangenome captures missing heritability and empowers tomato breeding

A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar

Vcflib and tools for processing the VCF variant call format

Unbiased pangenome graphs

Superbubbles, Ultrabubbles, and Cacti

Journal of computational biology : a journal of computational molecular cell biology

Genome alignment with graph data structures: a comparison

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

A super-pangenome of the North American wild grape species

From the reference human genome to human pangenome: Premise, promise and challenge


EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

A systematic review of homomorphic encryption and its contributions in healthcare industry

FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning

Faster Secure Data Mining via Distributed Homomorphic Encryption

ScionFL: Efficient and Robust Secure Quantized Aggregation

Privacy and Integrity Preserving Computations with CRISP

FHEBench: Benchmarking Fully Homomorphic Encryption Schemes

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference


An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.


MAterials Simulation Toolkit for Machine Learning (MAST-ML)

A data ecosystem to support machine learning in materials science

The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research

Molecular simulation-derived features for machine learning predictions of metal glass forming ability

Calibrated bootstrap for uncertainty quantification in regression models

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large
  Language Models


The Multi-Mission Maximum Likelihood framework (3ML)

Extended gamma-ray sources around pulsars constrain the origin of the positron flux at Earth

Very-high-energy particle acceleration powered by the jets of the microquasar SS 433

Daily Monitoring of TeV Gamma-Ray Emission from Mrk 421, Mrk 501, and the Crab Nebula with HAWC

Time-resolved GRB polarization with POLAR and GBM

10.4 m GTC observations of the nearby VHE-detected GRB 190829A/SN 2019oyw

Two Predictions of Supernova: GRB 130427A/SN 2013cq and GRB 180728A/SN 2018fip

Emission from accelerating jets in gamma-ray bursts: radiation-dominated flows with increasing mass outflow rates

Monthly Notices of the Royal Astronomical Society

Search for dark matter gamma-ray emission from the Andromeda Galaxy with the High-Altitude Water Cherenkov Observatory

Journal of Cosmology and Astroparticle Physics

Is spectral width a reliable measure of GRB emission physics?

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

Searching for dark matter sub-structure with HAWC


A toolkit for summarization analysis and aspect-based summarizers

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

Klexikon: A German Dataset for Joint Summarization and Simplification


BS-Seeker3: An Ultra-fast, Versatile Pipeline for Mapping Bisulfite-treated Reads.

Introduction to Single-Cell DNA Methylation Profiling Methods

BS-Seeker3: ultrafast pipeline for bisulfite sequencing

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


Gene fusion detection and visualization

GeneFuse: detection and visualization of target gene fusions from DNA sequencing data

International journal of biological sciences

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

MutScan: fast detection and visualization of target mutations by scanning FASTQ data

Molecular characterization of genomic breakpoints of ALK rearrangements in non-small cell lung cancer.

FindDNAFusion: An Analytical Pipeline with Multiple Software Tools Improves Detection of Cancer-Associated Gene Fusions from Genomic DNA.

The Journal of molecular diagnostics : JMD


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

Findings of the Association for Computational Linguistics: ACL 2022

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

YANMTT: Yet Another Neural Machine Translation Toolkit

NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages

CreoleVal: Multilingual Multitask Benchmarks for Creoles


Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Medical Image Computing and Computer-Assisted Intervention

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation

Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

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

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation


No Coin is a tiny browser extension aiming to block coin miners such as Coinhive.

SoK: Cryptojacking Malware

End-to-End Analysis of In-Browser Cryptojacking

Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model

CoinPolice:Detecting Hidden Cryptojacking Attacks with Neural Networks

MinerGate: A Novel Generic and Accurate Defense Solution Against Web Based Cryptocurrency Mining Attacks

Communications in computer and information science


A WebGL viewer for UMAP or TSNE-clustered images

The Newspaper Navigator Dataset

International Conference on Information and Knowledge Management

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

Surprise machines: revealing Harvard Art Museums' image collection

Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface


TJPCov is a general covariance calculator interface to be used within LSST DESC

Transitioning from Stage-III to Stage-IV: Cosmology from galaxy×CMB lensing and shear×CMB lensing

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

Intrinsic alignment from multiple shear estimates: A first application to data and forecasts for Stage IV


Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection

Information Security Journal: A Global Perspective

Metaheuristic Techniques

ECJ at 20: toward a general metaheuristics toolkit

Proceedings of the Genetic and Evolutionary Computation Conference Companion

From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis

Anytime Diagnosis for Reconfiguration

Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives

Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation

A New Hybrid Genetic and Information Gain Algorithm for Imputing Missing Values in Cancer Genes Datasets

International Journal of Intelligent Systems and Applications

Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

Nature Inspired Techniques and Applications in Intrusion Detection Systems: Recent Progress and Updated Perspective

Archives of Computational Methods in Engineering


Port of MATPOWER to Python

PyPSA: Python for Power System Analysis

Linear optimal power flow using cycle flows

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems

Monitoring Long Term Voltage Instability Due to Distribution and Transmission Interaction Using Unbalanced μ PMU and PMU Measurements

PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

Solving AC Power Flow with Graph Neural Networks under Realistic Constraints

InterPSS: A New Generation Power System Simulation Engine

Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education

E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning


Hologram processing and light scattering in python

Charged hydrophobic colloids at an oil-aqueous phase interface.

Physical review. E, Statistical, nonlinear, and soft matter physics

Holographic Microscopy with Python and HoloPy

The role of the medium in the effective-sphere interpretation of holographic particle characterization data.

Improving holographic particle characterization by modeling spherical aberration


The Virtual Planet Simulator

VPLanet: The Virtual Planet Simulator

Publications of the Astronomical Society of the Pacific

Rotation Period Evolution in Low-mass Binary Stars: The Impact of Tidal Torques and Magnetic Braking

Exomoons in the Habitable Zones of M Dwarfs

On the XUV Luminosity Evolution of TRAPPIST-1

The Contribution of M-dwarf Flares to the Thermal Escape of Potentially Habitable Planet Atmospheres

A Coupled Analysis of Atmospheric Mass Loss and Tidal Evolution in XUV Irradiated Exoplanets: The TRAPPIST-1 Case Study

The μ Arae Planetary System: Radial Velocities and Astrometry

The Ice Coverage of Earth-like Planets Orbiting FGK Stars

Living with a Red Dwarf: X-Ray, UV, and Ca ii Activity–Age Relationships of M Dwarfs


ARCH models in Python

Toward Automated Benchmarking of Atomistic Force Fields: Neat Liquid Densities and Static Dielectric Constants from the ThermoML Data Archive

Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes

Forecasting Bitcoin Volatility Spikes from Whale Transactions and Cryptoquant Data Using Synthesizer Transformer Models

Sector Volatility Prediction Performance Using GARCH Models and Artificial Neural Networks

Estimating value at risk: LSTM vs. GARCH


Transformer related optimization, including BERT, GPT

Prefix-Tuning: Optimizing Continuous Prompts for Generation

GLM-130B: An Open Bilingual Pre-trained Model

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Challenges and Applications of Large Language Models

Factuality Enhanced Language Models for Open-Ended Text Generation

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Learned Token Pruning for Transformers

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models


A compact, efficient Prolog interpreter written in plain-old C.

The Janus System: Multi-paradigm Programming in Prolog and Python

International Conference on Logic Programming

Tau Prolog: A Prolog interpreter for the Web


:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

MT-PATCHER: Selective and Extendable Knowledge Distillation from Large
  Language Models for Machine Translation

Learning and Evaluating Chinese Idiom Embeddings

Recent Advances in Natural Language Processing

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles


Multilingual Automatic Speech Recognition with word-level timestamps and confidence

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology

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

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation

Towards Multimodal Video Paragraph Captioning Models Robust to Missing
  Modality

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

The Claire French Dialogue Dataset

SpokesBiz -- an Open Corpus of Conversational Polish

Vibravox: A Dataset of French Speech Captured with Body-conduction Audio
  Sensors


R client for the OBIS API

Enhancing georeferenced biodiversity inventories: automated information extraction from literature records reveal the gaps


Creative Commons Attribution Share Alike 4.0 International

STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)

Comprehensive Supersense Disambiguation of English Prepositions and Possessives

Multi-Task Learning for Sequence Tagging: An Empirical Study

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

International Conference on Computational Linguistics

Semantic Supersenses for English Possessives

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Lexical Semantic Recognition

Adposition and Case Supersenses v2.6: Guidelines for English

Constructing an Annotated Corpus of Verbal MWEs for English

A Corpus of Adpositional Supersenses for Mandarin Chinese

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose


Open source remote sensing dataset with benchmarks


Anomaly Detection and Correlation library

Time-Series Anomaly Detection Service at Microsoft

TS2Vec: Towards Universal Representation of Time Series

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

Local Evaluation of Time Series Anomaly Detection Algorithms

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

ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series

Computer Software and Applications Conference

Anomaly Detection for an E-commerce Pricing System

RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection


The Open Images dataset

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Learning Intelligent Dialogs for Bounding Box Annotation

CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Virtual-reality-based digital twin of office spaces with social distance measurement feature

The Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO)

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling


InferSent sentence embeddings

Skip-Thought Vectors

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Sentence Encoder

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

SentEval: An Evaluation Toolkit for Universal Sentence Representations

e-SNLI: Natural Language Inference with Natural Language Explanations

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Dialogue Natural Language Inference


Pedestrian simulator powered by the social force model

Core Challenges of Social Robot Navigation: A Survey

SOCIALGYM: A Framework for Benchmarking Social Robot Navigation

Human-Aware Navigation Planner for Diverse Human-Robot Contexts

Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw

ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot
  Interaction Applications


Python library for the post-measurement analysis of real-time deformability cytometry (RT-DC) data sets

Physical phenotype of blood cells is altered in COVID-19

Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies

A New Hyperelastic Lookup Table for RT-DC


A cool place to store your Hi-C

HiGlass: web-based visual exploration and analysis of genome interaction maps

Cooler: scalable storage for Hi-C data and other genomically labeled arrays

A mechanism of cohesin‐dependent loop extrusion organizes zygotic genome architecture

Molecular basis of CTCF binding polarity in genome folding

SMC complexes differentially compact mitotic chromosomes according to genomic context

Cohesin residency determines chromatin loop patterns

Conformation of sister chromatids in the replicated human genome

Chromatin compartment dynamics in a haploinsufficient model of cardiac laminopathy

Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate

BRD2 compartmentalizes the accessible genome


Tools for working with SAM/BAM data

Pan-cancer whole-genome analyses of metastatic solid tumours

SAMBLASTER: fast duplicate marking and structural variant read extraction

ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

Complete Genome Sequence of Haemophilus influenzae Strain 375 from the Middle Ear of a Pediatric Patient with Otitis Media

Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish

Frontiers in cell and developmental biology

Shedding light on dark genes: enhanced targeted resequencing by optimizing the combination of enrichment technology and DNA fragment length

Rap1 regulates TIP60 function during fate transition between two-cell-like and pluripotent states

Genome-Wide Re-Sequencing Data Reveals the Population Structure and Selection Signatures of Tunchang Pigs in China

Animals : an open access journal from MDPI

A Novel Frame-Shift Mutation in SCNN1B Identified in a Chinese Family Characterized by Early-Onset Hypertension


Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

A neuromarker for drug and food craving distinguishes drug users from non-users

Human Extinction Learning Is Accelerated by an Angiotensin Antagonist via Ventromedial Prefrontal Cortex and Its Connections With Basolateral Amygdala

Dorsal premammillary projection to periaqueductal gray controls escape vigor from innate and conditioned threats

An fMRI-Based Brain Marker of Individual Differences in Delay Discounting

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

Functional brain reconfiguration during sustained pain

Brain markers predicting response to cognitive‐behavioral therapy for social anxiety disorder: an independent replication of Whitfield-Gabrieli et al. 2015

Neural and computational underpinnings of biased confidence in human reinforcement learning

Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain

bioRxiv : the preprint server for biology

Reward modality modulates striatal responses to reward anticipation in ADHD: Effects of affiliative and food stimuli

Developing a novel dual-injection FDG-PET imaging methodology to study the functional neuroanatomy of gait


A Python library that helps data scientists to infer causation rather than observing correlation.

Evaluation Methods and Measures for Causal Learning Algorithms

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

Causalvis: Visualizations for Causal Inference

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS

Case Studies of Causal Discovery from IT Monitoring Time Series

pgmpy: A Python Toolkit for Bayesian Networks

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge

Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies


A unified, comprehensive and efficient recommendation library

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

A Comprehensive Survey on Trustworthy Recommender Systems

Explanation Guided Contrastive Learning for Sequential Recommendation

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems

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

Intent-aware Recommendation via Disentangled Graph Contrastive Learning

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Improving Micro-video Recommendation by Controlling Position Bias


Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Fashion-Gen: The Generative Fashion Dataset and Challenge

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Nested Scale-Editing for Conditional Image Synthesis


[CVPR 2021] Self-supervised depth estimation from short sequences

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments

Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments

SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch


Classification models trained on ImageNet. Keras.

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

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

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence

Privacy in Practice: Private COVID-19 Detection in X-Ray Images

Progressive Stochastic Binarization of Deep Networks


Mesh parameterization / UV unwrapping library

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Extracting Triangular 3D Models, Materials, and Lighting From Images

TEXTure: Text-Guided Texturing of 3D Shapes

Text-To-4D Dynamic Scene Generation

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

Texture Generation on 3D Meshes with Point-UV Diffusion

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models


A prompting enhancement library for transformers-type text embedding systems

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models

Synthetic Image Generation in Cyber Influence Operations: An Emergent
  Threat?

DreamWalk: Style Space Exploration using Diffusion Guidance

From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent


Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Unsupervised Cross-lingual Representation Learning at Scale

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset

Towards L2-friendly pipelines for learner corpora: A case of written production by L2-Korean learners

Workshop on Innovative Use of NLP for Building Educational Applications


Patent analysis using the Google Patents Public Datasets on BigQuery

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

Supervised Contrastive Learning for Interpretable Long-Form Document Matching

Supervised Contrastive Learning for Interpretable Long Document Comparison.

CinPatent: Datasets for Patent Classification


Program for the analysis and visualization of whole-slide images in digital pathology

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

The importance of stain normalization in colorectal tissue classification with convolutional networks

A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides

Automated detection of cribriform growth patterns in prostate histology images

Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies

Improving Prostate Cancer Detection with Breast Histopathology Images

Spatial modeling reveals nuclear phosphorylation and subcellular shuttling of YAP upon drug-induced liver injury


A climate4R package for data access


Instruction Tuning for Large Language Models: A Survey

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

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

Fine-grained Hallucination Detection and Editing for Language Models

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Investigating Data Contamination for Pre-training Language Models

WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

OLMoE: Open Mixture-of-Experts Language Models

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Airavata: Introducing Hindi Instruction-tuned LLM


Tools and methods for analysis of single cell assay data in R

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Computational approaches for interpreting scRNA-seq data

Comparison of methods to detect differentially expressed genes between single-cell populations

Quantitative proteomics and single-nucleus transcriptomics of the sinus node elucidates the foundation of cardiac pacemaking

Culture impact on the transcriptomic programs of primary and iPSC-derived human alveolar type 2 cells


Toolbox for simulation and processing of in-vivo magnetic resonance spectroscopy (MRS) data

Accelerated MR spectroscopic imaging—a review of current and emerging techniques

Linking GABA and glutamate levels to cognitive skill acquisition during development

Induced sensorimotor cortex plasticity remediates chronic treatment-resistant visual neglect

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence

Excitation and inhibition in anterior cingulate predict use of past experiences

An Ultra-High Field Magnetic Resonance Spectroscopy Study of Post Exercise Lactate, Glutamate and Glutamine Change in the Human Brain

Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction

Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model

Zenodo (CERN European Organization for Nuclear Research)

Altered glutamate level and its association with working memory among patients with treatment-resistant schizophrenia (TRS): a proton magnetic resonance spectroscopy study

Glutamine + glutamate level predicts the magnitude of microstructural organization in the gray matter in the healthy elderly


Pastas is an open-source Python framework for the analysis of groundwater time series.

Pastas: Open Source Software for the Analysis of Groundwater Time Series

Solving Groundwater Flow Problems with Time Series Analysis: You May Not Even Need Another Model


Play atmospheric modelling like it's LEGO.

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Clifford Neural Layers for PDE Modeling

Geometric Clifford Algebra Networks

Latent Neural PDE Solver: a reduced-order modelling framework for
  partial differential equations

Marrying Causal Representation Learning with Dynamical Systems for
  Science


NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS

How Powerful are Performance Predictors in Neural Architecture Search?

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

NASLib: A Modular and Flexible Neural Architecture Search Library

Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search

Multifidelity Reinforcement Learning with Control Variates

Improving the Performance of DNN-based Software Services using Automated Layer Caching

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search


Tom's Obvious, Minimal Language

Allpix(2): A modular simulation framework for silicon detectors

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

PDFAnno: a Web-based Linguistic Annotation Tool for PDF Documents

A Real Time Processing system for big data in astronomy: Applications to HERA

User Manual for the Corryvreckan Test Beam Data Reconstruction Framework, Version 1.0

Refactoring Neural Networks for Verification

pySEOBNR: a software package for the next generation of effective-one-body multipolar waveform models

TurboPy: A lightweight python framework for computational physics

Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation

DataCurator.jl: Efficient, portable, and reproducible validation, curation, and transformation of large heterogeneous datasets using human-readable recipes compiled into machine verifiable templates

Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS)


Marlin is an optimized firmware for RepRap 3D printers based on the Arduino platform. Many commercial 3D printers come with Marlin installed. Check with your vendor if you need source code for your specific machine.

Evolving software system families in space and time with feature revisions

Step-by-step assembly and testing of a low-cost bioprinting solution for research and educational purposes

CubeFactory2 – an Off-Grid and Circular 3D-Printing Mini-Factory

A low-cost open-source automated shot peen forming system


:microscope: :leo: Bacterial ribosomal RNA predictor

Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism

Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

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

phyloFlash: Rapid Small-Subunit rRNA Profiling and Targeted Assembly from Metagenomes

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Retrieval of a million high-quality, full-length microbial 16S and 18S rRNA gene sequences without primer bias

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Ultrahigh-throughput functional profiling of microbiota communities

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

Structure and Function of the Arctic and Antarctic Marine Microbiota as Revealed by Metagenomics

Improved reference genome of the arboviral vector Aedes albopictus


Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

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

Multiplex Heterogeneous Graph Convolutional Network

Multi-View Collaborative Network Embedding

ACM Transactions on Knowledge Discovery from Data

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


Single object tracking and segmentation.

Rethinking the competition between detection and ReID in Multi-Object Tracking

Learn to Match: Automatic Matching Network Design for Visual Tracking

One More Check: Making "Fake Background" Be Tracked Again

Divert More Attention to Vision-Language Tracking

Toward Accurate Pixelwise Object Tracking via Attention Retrieval

WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking


Modeling with limited data

Accelerating molecular simulations of proteins using Bayesian inference on weak information

Binding Ensembles of p53-MDM2 Peptide Inhibitors by Combining Bayesian Inference and Atomistic Simulations

Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers

Journal of chemical theory and computation


powderday dust radiative transfer

How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting

Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations

Monthly Notices of the Royal Astronomical Society

POWDERDAY: Dust Radiative Transfer for Galaxy Simulations

The Astrophysical Journal Supplement Series

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

A Framework for Modeling Polycyclic Aromatic Hydrocarbon Emission in Galaxy Evolution Simulations

Cosmic Sands: The Origin of Dusty, Star-forming Galaxies in the Epoch of Reionization


Satellite image time series in R

Satellite Image Time Series Analysis for Big Earth Observation Data

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017

Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series


A package to support RL research

Playing Atari with Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration

The Hanabi Challenge: A New Frontier for AI Research


This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Machine Learning at the Network Edge: A Survey

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

International Conference on Machine Learning

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

DROCC: Deep Robust One-Class Classification

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

Machine Learning on Mainstream Microcontrollers

TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference


Open Source Smart Meter with focus on privacy - you remain the master of your data.


Pipeline components for real-time phylodynamic analysis

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies

Temporal Detection and Phylogenetic Assessment of SARS-CoV-2 in Municipal Wastewater

medRxiv : the preprint server for health sciences

Transmission of SARS-CoV-2 from humans to animals and potential host adaptation

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Real-time tracking of Tomato brown rugose fruit virus (ToBRFV) outbreaks in the Netherlands using Nextstrain

Betacoronavirus Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic

International journal of molecular sciences

Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology

SARS-CoV-2 mutation 614G creates an elastase cleavage site enhancing its spread in high AAT-deficient regions

Emergence of a recurrent insertion in the N-terminal domain of the SARS-CoV-2 spike glycoprotein


YaRN: Efficient Context Window Extension of Large Language Models

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

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

Resonance RoPE: Improving Context Length Generalization of Large
  Language Models

StreamingDialogue: Prolonged Dialogue Learning via Long Context
  Compression with Minimal Losses


[CVPR2020] Adversarial Latent Autoencoders

Label-Efficient Semantic Segmentation with Diffusion Models

Adversarial Latent Autoencoders

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

Unpaired Image-to-Image Translation via Latent Energy Transport

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery

Light Schrödinger Bridge

Light Unbalanced Optimal Transport


Privacy Testing for Deep Learning

Knockoff Nets: Stealing Functionality of Black-Box Models

Membership Inference Attacks on Machine Learning: A Survey

Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

A Survey of Privacy Attacks in Machine Learning

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

Privatsphärefreundliches maschinelles Lernen

AIJack: Security and Privacy Risk Simulator for Machine Learning


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html Note: This was the original repository which will no longer be officially maintained. Please use the new official repository here:

Fast and sensitive mapping of nanopore sequencing reads with GraphMap

Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions

Research in Computational Molecular Biology

Nanopore sequencing in microgravity

Evaluation of tools for long read RNA-seq splice-aware alignment

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art

From command-line bioinformatics to bioGUI

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

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

RNA Transcriptome Mapping with GraphMap


The approximate regex matching library and agrep command line tool.

stringi: Fast and Portable Character String Processing in R

Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot

Tagged Deterministic Finite Automata with Lookahead

A population-level strain genotyping method to study pathogen strain dynamics in human infections


rna-tools: a toolbox to analyze sequences, structures and simulations of RNA (and more) used by RNA CASP, RNA PUZZLES, and me ;-) docs @ http://rna-tools.rtfd.io web @ http://rna-tools.online

RNA 3D structure prediction guided by independent folding of homologous sequences

Ribonanza: deep learning of RNA structure through dual crowdsourcing

bioRxiv : the preprint server for biology


Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy

Explainable AI for Bioinformatics: Methods, Tools, and Applications


Motion Planning Environment

cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning

Canonical Subproblems for Robot Inverse Kinematics


Minimal implementation of the QUIC protocol

QUIC-FEC: Bringing the benefits of Forward Erasure Correction to QUIC

FlEC: Enhancing QUIC With Application-Tailored Reliability Mechanisms

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

Interoperability-Guided Testing of QUIC Implementations using Symbolic Execution

Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC

MCQUIC: Multicast and unicast in a single transport protocol


Go implementation of Ethereum proof of stake

Resource Analysis of Ethereum 2.0 Clients

Ethereum Proof-of-Stake under Scrutiny

Security Review of Ethereum Beacon Clients

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis

FIRST: FrontrunnIng Resilient Smart ConTracts

Can we run our Ethereum nodes at home?

Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts

Toward Scalable Docker-Based Emulations of Blockchain Networks for
  Research and Development

Unconditionally Safe Light Client


Make sankey, alluvial and sankey bump plots in ggplot

Regulatory fine-tuning of mcr-1 increases bacterial fitness and stabilises antibiotic resistance in agricultural settings

Plasmid-Encoded Traits Vary across Environments

Merkel cell polyomavirus-specific and CD39+CLA+ CD8 T cells as blood-based predictive biomarkers for PD-1 blockade in Merkel cell carcinoma

Interspecific behavioural interference and range dynamics: current insights and future directions

Biological reviews/Biological reviews of the Cambridge Philosophical Society


BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

Deep contextualized word representations

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Alternative Weighting Schemes for ELMo Embeddings

Identifying communicative functions in discourse with content types


Simple, fast unsupervised word aligner

A Simple, Fast, and Effective Reparameterization of IBM Model 2

North American Chapter of the Association for Computational Linguistics

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Universal Neural Machine Translation for Extremely Low Resource Languages

Understanding Knowledge Distillation in Non-autoregressive Machine Translation

In-context Examples Selection for Machine Translation

End-to-End Slot Alignment and Recognition for Cross-Lingual NLU

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

Boosting Neural Machine Translation with Similar Translations

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences

If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2


SUPPA: Fast quantification of splicing and differential splicing

The functional impact of alternative splicing in cancer

The changing paradigm of intron retention: regulation, ramifications and recipes

SMRT and Illumina RNA sequencing reveal novel insights into the heat stress response and crosstalk with leaf senescence in tall fescue

The landscape of expression and alternative splicing variation across human traits

Zenodo (CERN European Organization for Nuclear Research)

SMRT sequencing of the full-length transcriptome of the Rhynchophorus ferrugineus (Coleoptera: Curculionidae)

Alternate splicing of transcripts upon Mycobacterium tuberculosis infection impacts the expression of functional protein domains

The PacBio Full-Length Transcriptome of the Tea Aphid as a Reference Resource

Dissection of full-length transcriptome and metabolome of Dichocarpum (Ranunculaceae): implications in evolution of specialized metabolism of Ranunculales medicinal plants

Identification of genes involved in chicken follicle selection by ONT sequencing on granulosa cells

CHD8 suppression impacts on histone H3 lysine 36 trimethylation and alters RNA alternative splicing


Spongy Castle - a repackage of Bouncy Castle for Android (which ships a crippled version of BC)

How Reliable is the Crowdsourced Knowledge of Security Implementation?

Secure Audio-Visual Data Exchange for Android In-Vehicle Ecosystems

2FE: Two-Factor Encryption for Cloud Storage


Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

TAPE: Assessing Few-shot Russian Language Understanding


Framework for Easily Invertible Architectures

Guided Image Generation with Conditional Invertible Neural Networks

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications

normflows: A PyTorch Package for Normalizing Flows

Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint

Stabilizing Invertible Neural Networks Using Mixture Models

PatchNR: learning from very few images by patch normalizing flow regularization

Latent Space Refinement for Deep Generative Models


robotic motion planning library

A New Approach to Time-Optimal Path Parameterization based on Reachability Analysis

Critically fast pick-and-place with suction cups

Generalizing Trajectory Retiming to Quadratic Objective Functions

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs

Time-Optimal Path Tracking with ISO Safety Guarantees


A community white paper about LSST observing strategy, with quantifications via the the Metric Analysis Framework.

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities

Astro2020 Science White Paper - Quasar Microlensing: Revolutionizing our Understanding of Quasar Structure and Dynamics

Combined Emerging Capabilities for Near-Earth Objects (NEOs)

Maximizing Science in the Era of LSST, Stars Study Group Report: Rotation and Magnetic Activity in the Galactic Field Population and in Open Star Clusters


IntelliJ IDEA Community Edition & IntelliJ Platform

Does Technical Debt Lead to the Rejection of Pull Requests?

Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering

On tracking Java methods with Git mechanisms

The Strengths and Behavioral Quirks of Java Bytecode Decompilers

RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information

Building Implicit Vector Representations of Individual Coding Style

Improving Testing Behavior by Gamifying IntelliJ

Together We Go Further: LLMs and IDE Static Analysis for Extract Method
  Refactoring

Semantics-driven extraction of timed automata from Java programs

Visualization of Methods Changeability Based on VCS Data


Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Implicit Neural Representations for Image Compression

Critical Regularizations for Neural Surface Reconstruction in the Wild

Machine learning in solar physics

Dynamic Point Fields

Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study

Learning Continuous Implicit Representation for Near-Periodic Patterns

Neural Poisson: Indicator Functions for Neural Fields

Generative Neural Fields by Mixtures of Neural Implicit Functions

p-Poisson surface reconstruction in curl-free flow from point clouds


PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

Improving Speech Enhancement through Fine-Grained Speech Characteristics

Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement

SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection

Interpretations of Domain Adaptations via Layer Variational Analysis

GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge

Exploring Speech Enhancement for Low-resource Speech Synthesis


Version 2 of the minc-toolkit, uses tools based on ITK version 4.x

Large-scale comparative neuroimaging: Where are we and what do we need?

Cortex; a journal devoted to the study of the nervous system and behavior

An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra

Selection for increased tibia length in mice alters skull shape through parallel changes in developmental mechanisms

APPIAN: Automated Pipeline for PET Image Analysis

Ventricular features as reliable differentiators between bvFTD and other dementias

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

The PaleoArchiNeo (PAN) human brain atlas: A dataset on a standard neuroanatomical MRI template following a phylogenetic approach

Ventricle features as reliable differentiators between the bvFTD and other dementias


A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

Inference Compilation and Universal Probabilistic Programming

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

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

Planning as Inference in Epidemiological Models

Amortized Rejection Sampling in Universal Probabilistic Programming

Simulation-Based Inference for Global Health Decisions

Spacecraft Collision Risk Assessment with Probabilistic Programming


ThunderGBM: Fast GBDTs and Random Forests on GPUs

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Practical Federated Gradient Boosting Decision Trees

Privacy-Preserving Gradient Boosting Decision Trees


VarDict

Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M

VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Generation of stable PDX derived cell lines using conditional reprogramming

Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis

Abstract 4864: VarDict: A novel and versatile variant caller for next-generation sequencing in cancer research

Relationship of HER2 Alteration and Microsatellite Instability Status in Colorectal Adenocarcinoma

Urinary Comprehensive Genomic Profiling Correlates Urothelial Carcinoma Mutations with Clinical Risk and Efficacy of Intervention

Accuracy of somatic variant detection in multiregional tumor sequencing data

Abstract B51: Tumor genetic shift post standard of care therapy


Track commercial fishing activity worldwide on the free, user-friendly, interactive Global Fishing Watch map.


Chaos testing, network emulation, and stress testing tool for containers

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric
  (Extended version)*

Opportunistic Edge Computing: Concepts, opportunities and research challenges

From the Eye of the Storm: An IoT Ecosystem Made of Sensors, Smartphones and UAVs

CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications

Clustering-based Partitioning for Large Web Graphs

Local Bitcoin Network Simulator for Performance Evaluation using Lightweight Virtualization

Using IoTCloudSamples as a software framework for simulations of edge computing scenarios

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering

A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems Under Communication Issues and Cyber Attacks

A Mirror Environment to Produce Artificial Intelligence Training Data


Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

A Scalable Framework for Quality Assessment of RDF Datasets

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor

Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment

From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment


DLRover: An Automatic Distributed Deep Learning System

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


A Portable Graphic Format for TeX

Feynman Integrals

Matter dependence of the four-loop QCD cusp anomalous dimension: from small angles to all angles

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

High-accuracy numerical models of Brownian thermal noise in thin mirror coatings

Intermediate charge-breaking phases and symmetry non-restoration in the 2-Higgs-Doublet Model

yquant: Typesetting quantum circuits in a human-readable language

dynamite: An R Package for Dynamic Multivariate Panel Models

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package


Operate and manipulate physical quantities in Python

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

unyt: Handle, manipulate, and convert data with units in Python

ChemKED: A Human‐ and Machine‐Readable Data Standard for Chemical Kinetics Experiments

ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics

Unit of measurement libraries, their popularity and suitability

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

PyTeCK: a Python-based automatic testing package for chemical kinetic models

Proceedings of the Python in Science Conferences

From Text to Insight: Large Language Models for Materials Science Data Extraction

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


Mastering Diverse Domains through World Models

TD-MPC2: Scalable, Robust World Models for Continuous Control

SafeDreamer: Safe Reinforcement Learning with World Models

Equivariant Reinforcement Learning under Partial Observability

Informed POMDP: Leveraging Additional Information in Model-Based RL

Joint Representations for Reinforcement Learning with Multiple Sensors

EfficientZero V2: Mastering Discrete and Continuous Control with Limited
  Data

Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty


ARC RDF Classes for PHP

Semantic Web repositories for genomics data using the eXframe platform

Knowledge sharing and collaboration in translational research, and the DC-THERA Directory

Pain Research Forum: application of scientific social media frameworks in neuroscience

Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management

Semantic web applications with regard to math and environment


Open-source platform for model predictive control (MPC) in buildings.


Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

Robust decomposition of cell type mixtures in spatial transcriptomics

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Cell type-specific inference of differential expression in spatial transcriptomics

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

Integrative analysis of spatial transcriptome with single-cell transcriptome and single-cell epigenome in mouse lungs after immunization


Fuzzy String Matching in Python

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Words are all you need? Language as an approximation for human similarity judgments

DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients

CAT-LM Training Language Models on Aligned Code And Tests

Revisiting non-English Text Simplification: A Unified Multilingual Benchmark

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

DE-COP: Detecting Copyrighted Content in Language Models Training Data

Automatically Generating Scenarios from a Text Corpus: A Case Study on Electric Vehicles

A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains


The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

TinyLlama: An Open-Source Small Language Model

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

Towards the Law of Capacity Gap in Distilling Language Models

MELTing point: Mobile Evaluation of Language Transformers

Adam-mini: Use Fewer Learning Rates To Gain More

Length Generalization of Causal Transformers without Position Encoding

SEA: Sparse Linear Attention with Estimated Attention Mask

Inheritune: Training Smaller Yet More Attentive Language Models

Sailor: Open Language Models for South-East Asia


Half Field Offense in Robocup 2D Soccer

Deep Reinforcement Learning in Parameterized Action Space

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Situational Awareness by Risk-Conscious Skills

Curriculum Learning with a Progression Function

A survey of benchmarks for reinforcement learning algorithms

Situationally Aware Options

Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey


StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Differentiable Augmentation for Data-Efficient GAN Training

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Extracting Training Data from Diffusion Models

ContraGAN: Contrastive Learning for Conditional Image Generation

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

The ArtBench Dataset: Benchmarking Generative Models with Artworks

Conditional GANs with Auxiliary Discriminative Classifier

Training on Thin Air: Improve Image Classification with Generated Data

A Unified View of cGANs with and without Classifiers


The Numenta Anomaly Benchmark

Unsupervised real-time anomaly detection for streaming data

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Precision and Recall for Time Series

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

IEEE Symposium Series on Computational Intelligence

Real-Time Anomaly Detection for Streaming Analytics

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation Research Part C: Emerging Technologies

Expected similarity estimation for large-scale batch and streaming anomaly detection

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

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

Anomaly Detection in Cloud Components

International Conference on Cloud Computing


Python library to generate linked OpenDRIVE and OpenSCENARIO files

One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving

Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad


Userspace eBPF VM

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF

Towards Flexible Anonymous Networks

ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs

Hyperion: A Case for Unified, Self-Hosting, Zero-CPU Data-Processing Units (DPUs)

bpftime: userspace eBPF Runtime for Uprobe, Syscall and Kernel-User Interactions

Wasm-bpf: Streamlining eBPF Deployment in Cloud Environments with WebAssembly


Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow.  This is part of the CASL project: http://casl-project.ai/

Toward Controlled Generation of Text

Unsupervised Text Style Transfer using Language Models as Discriminators

Explaining The Efficacy of Counterfactually Augmented Data

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Structured Content Preservation for Unsupervised Text Style Transfer

Connecting the Dots Between MLE and RL for Sequence Prediction

DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes


Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

Quantum Chemistry in the Age of Quantum Computing

Open source software in quantum computing

Production of photonic universal quantum gates enhanced by machine learning

Fast Simulation of Bosonic Qubits via Gaussian Functions in Phase Space

Efficient construction of matrix-product representations of many-body Gaussian states


Joda-Time is the widely used replacement for the Java date and time classes prior to Java SE 8.

Fast and Precise On-the-fly Patch Validation for All

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE Transactions on Software Engineering

Cerebro: Static Subsuming Mutant Selection

Commit-Aware Mutation Testing

International Conference on Software Maintenance

Program Repair: Automated vs. Manual

On the use of commit-relevant mutants

Refactoring Assertion Roulette and Duplicate Assert test smells: a controlled experiment

Learning Likely Invariants to Explain Why a Program Fails

International Conference on Engineering of Complex Computer Systems

Static Call Graph Combination to Simulate Dynamic Call Graph Behavior


Jupyter metapackage for installation, docs and chat

Open Education Science

Experimenting with reproducibility: a case study of robustness in bioinformatics

The organization and development of cortical interneuron presynaptic circuits are area specific

Easy-to-Use Cloud Computing for Teaching Data Science

Journal of Statistics and Data Science Education

Using Computational Essays to Scaffold Professional Physics Practice

Jupyter as Common Technology Platform for Interactive HPC Services

Proceedings of the Practice and Experience on Advanced Research Computing

Bacatá: Notebooks for DSLs, Almost for Free

The Art, Science, and Engineering of Programming

MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment

IEEE High Performance Extreme Computing Conference

Jupyter Notebooks for the study of advanced topics in Fluid Mechanics

Computer Applications in Engineering Education

Jupyter Notebooks in Undergraduate Mobile Robotics Courses: Educational Tool and Case Study


Hydra is a framework for elegantly configuring complex applications

TEMOS: Generating diverse human motions from textual descriptions

Multi-Task Reinforcement Learning with Context-based Representations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Learning Neural Event Functions for Ordinary Differential Equations

FLEX: Unifying Evaluation for Few-Shot NLP

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

On the model-based stochastic value gradient for continuous reinforcement learning

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Variational Wasserstein gradient flow


Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Improving black-box optimization in VAE latent space using decoder uncertainty

All SMILES Variational Autoencoder

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in research metrics and analytics

BERT Learns (and Teaches) Chemistry

Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer

AI-Aided Search for New HIV-1 Protease Ligands

Deep2Lead: A distributed deep learning application for small molecule lead optimization


The dataset for drone based detection and tracking is released, including both image/video, and annotations.

Detection and Tracking Meet Drones Challenge

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

IEEE Geoscience and Remote Sensing Magazine

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote-Sensing Images

Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions

Deep Learning Derived Object Detection and Tracking Technology Based on Sensor Fusion of Millimeter-Wave Radar/Video and Its Application on Embedded Systems

A novel algorithm for small object detection based on YOLOv4

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8

BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision

International Journal of Computer Vision


Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

UPOCR: Towards Unified Pixel-Level OCR Interface

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization


Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Conditional Simulation Using Diffusion Schrödinger Bridges

Generative Flows with Invertible Attentions

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment


Usagi is an application to help create mappings between coding systems and the Vocabulary standard concepts.

A curated and standardized adverse drug event resource to accelerate drug safety research

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network

The natural history of symptomatic COVID-19 during the first wave in Catalonia

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths among 5,627,520 people

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Journal of the American Medical Informatics Association : JAMIA

Extract, transform, load framework for the conversion of health databases to OMOP

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria

Studies in health technology and informatics

DQueST: dynamic questionnaire for search of clinical trials


Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis

Gender Prediction Methods Based on First Names with genderizeR

Multi-Source Social Feedback of Online News Feeds

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

How did people cope during the COVID-19 pandemic? A Structural Topic Modelling Analysis of Free-Text Data from 11,000 UK Adults


Unsupervised text tokenizer focused on computational efficiency

Neural Machine Translation of Rare Words with Subword Units

BPE-Dropout: Simple and Effective Subword Regularization

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

Single Headed Attention RNN: Stop Thinking With Your Head

Tensorized Embedding Layers for Efficient Model Compression

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition

Tensorized Embedding Layers

NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21

Efficient Sequence Transduction by Jointly Predicting Tokens and Durations

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)


a python package for gravitational wave analysis with the F-statistic

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Monthly Notices of the Royal Astronomical Society

Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries

Application of a hierarchical MCMC follow-up to Advanced LIGO continuous gravitational-wave candidates

PyFstat: a Python package for continuous gravitational-wave data analysis

Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic

A semicoherent glitch-robust continuous-gravitational-wave search method


QR decoder library

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

Eyes of Things

Transducer Electronic Data Sheets: Anywhere, Anytime, Anyway

Building a Privacy-Preserving Smart Camera System

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices


Variational autoencoder for metagenomic binning

Long-Read Sequencing Improves Recovery of Picoeukaryotic Genomes and Zooplankton Marker Genes from Marine Metagenomes

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets

Adversarial and variational autoencoders improve metagenomic binning


SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown

On Attacking Kerberos Authentication Protocol in Windows Active Directory Services: A Practical Survey

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing

7TH IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (EUROS&PW 2022)

Binary Decision Diagrams with Edge-Specified Reductions

Tools and Algorithms for Construction and Analysis of Systems

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

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

Twenty-two years since revealing cross-site scripting attacks: A systematic mapping and a comprehensive survey

Assessment of Dynamic Open-source Cross-site Scripting Filters for Web Application

Ksii Transactions on Internet and Information Systems

Unintended Memorization and Timing Attacks in Named Entity Recognition Models

How Much Does GenoGuard Really "Guard"? An Empirical Analysis of Long-Term Security for Genomic Data

My(o) Armband Leaks Passwords

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies


Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension. Part of Node.js, WebKit/Safari, Ladybird, Cloudflare Workers and Bun.

Transcoding Billions of Unicode Characters per Second with SIMD Instructions

Transcoding Unicode Characters with AVX-512 Instructions

Unicode at Gigabytes per Second

String Processing and Information Retrieval


Face recognition using Tensorflow

FaceNet: A Unified Embedding for Face Recognition and Clustering

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

AI Benchmark: Running Deep Neural Networks on Android Smartphones

On the Reconstruction of Face Images from Deep Face Templates

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

A Comprehensive Study on Face Recognition Biases Beyond Demographics

Face Recognition: Primates in the Wild

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

On the Intrinsic Dimensionality of Image Representations


[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

PREDATOR: Registration of 3D Point Clouds with Low Overlap

RPM-Net: Robust Point Matching using Learned Features

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer

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


classify, merge, tracking and annotation of GFF files by comparing to a reference annotation GFF

GFF Utilities: GffRead and GffCompare

The RNA landscape of the human placenta in health and disease

Systematic identification and characterization of Aedes aegypti long noncoding RNAs (lncRNAs)

Transcriptional Landscape and Regulatory Roles of Small Noncoding RNAs in the Oxidative Stress Response of the Haloarchaeon Haloferax volcanii

Bovine Milk Extracellular Vesicles (EVs) Modification Elicits Skeletal Muscle Growth in Rats

Spaceflight-induced alternative splicing during seedling development in Arabidopsis thaliana

Genome-wide identification of Aedes albopictus long noncoding RNAs and their association with dengue and Zika virus infection

Identification of differentially expressed circulating exosomal lncRNAs in IgA nephropathy patients

Genome-Wide Network of lncRNA–mRNA During Ovine Oocyte Development From Germinal Vesicle to Metaphase II in vitro

EPHX2 Inhibits Colon Cancer Progression by Promoting Fatty Acid Degradation


The POX network software platform

Advancing Software-Defined Networks: A Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

MiniCPS: A toolkit for security research on CPS Networks

NeuRoute: Predictive Dynamic Routing for Software-Defined Networks

SDN Flow Entry Management Using Reinforcement Learning

Routing Centralization Across Domains via SDN: A Model and Emulation Framework for BGP Evolution

Kollaps: Decentralized and Dynamic Topology Emulation

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model

CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers


Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

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

Instance Normalization: The Missing Ingredient for Fast Stylization

Texture Synthesis Using Convolutional Neural Networks

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis


We are building an open database of COVID-19 cases with chest X-ray or CT images.

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Physical and engineering sciences in medicine

Can AI Help in Screening Viral and COVID-19 Pneumonia?

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Computer methods and programs in biomedicine

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

COVID-19 Image Data Collection

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

IEEE access : practical innovations, open solutions


offline/online spike sorting. Un logiciel de gauche qui ne fait pas d'amalgame entre la classe et la coquetterie.

SpikeInterface, a unified framework for spike sorting

SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

Compatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

NeuSort: an automatic adaptive spike sorting approach with neuromorphic models

Early classification of Alzheimer's disease phenotype based on hippocampal electrophysiology in the TgF344-AD rat model


A statistical-parametric model for assessing wind hazard from tropical cyclones


PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

PESTO: Parameter EStimation TOolbox

Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

Integration based profile likelihood calculation for PDE constrained parameter estimation problems

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

Optimization and uncertainty analysis of ODE models using 2nd order adjoint sensitivity analysis

Modeling early treatment response in AML from cell-free tumor DNA

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.


An automated machine learning tool aimed to facilitate AutoML research.

Online AutoML: An adaptive AutoML framework for online learning

GAMA: a General Automated Machine learning Assistant


Massively Parallel and Dynamic Algorithms for Minimum Size Clustering

Private Hierarchical Clustering in Federated Networks

Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy System

On the Robustness of Topics API to a Re-Identification Attack

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)

Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders

Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders


A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens


Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

Perceptual Artifacts Localization for Image Synthesis Tasks

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution


Model analyzer in PyTorch

Green AI

Distilling Knowledge from Object Classification to Aesthetics Assessment

Salient Object Detection via Dynamic Scale Routing

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

U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-Scale Attention Mechanism for Moving Object Segmentation

Off-Grid DOA Estimation Based on Circularly Fully Convolutional Networks (CFCN) Using Space-Frequency Pseudo-Spectrum

Large-scale photonic computing with nonlinear disordered media


[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA  for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Multi-Stage Progressive Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

OpenAGI: When LLM Meets Domain Experts

Prompt-In-Prompt Learning for Universal Image Restoration

Formal-LLM: Integrating Formal Language and Natural Language for
  Controllable LLM-based Agents

Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality

Harnessing Joint Rain-/Detail-aware Representations to Eliminate
  Intricate Rains


Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)

MegDet: A Large Mini-Batch Object Detector

Rethinking on Multi-Stage Networks for Human Pose Estimation

Learning Delicate Local Representations for Multi-Person Pose Estimation


Phinch is an open-source framework for visualizing biological data, funded by a grant from the Alfred P. Sloan foundation. This project represents an interdisciplinary collaboration between Pitch Interactive, a data visualization studio in Oakland, CA, and biological researchers at UC Riverside.

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

New Invasive Nemertean Species (Cephalothrix Simula) in England with High Levels of Tetrodotoxin and a Microbiome Linked to Toxin Metabolism

Phinch: An interactive, exploratory data visualization framework for –Omic datasets

Unique Down to Our Microbes—Assessment of an Inquiry-Based Metagenomics Activity†

Journal of microbiology & biology education

biojs-io-biom, a BioJS component for handling data in Biological Observation Matrix (BIOM) format


Identifying viruses from metagenomic data by deep learning

Identifying viruses from metagenomic data using deep learning

Unraveling the functional dark matter through global metagenomics

Distribution Characteristics of Soil Viruses Under Different Precipitation Gradients on the Qinghai-Tibet Plateau

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

Current trends in RNA virus detection through metatranscriptome sequencing data


Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

An Open Source Unsupervised Algorithm for Identification and Fast Prediction of Behaviors

Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development

Mapping the Signatures of Inflammatory Pain and Its Relief

Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice

Rapid, automated, and experimenter-free touchscreen testing reveals reciprocal interactions between cognitive flexibility and activity-based anorexia in female rats

RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making


Efficient neural feature detector and descriptor

SuperPoint: Self-Supervised Interest Point Detection and Description

Asynchronous Multi-View SLAM

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Compression of descriptor models for mobile applications

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction