MiNA (Mitochondrial Network Analysis) is a project aimed at making the analysis and characterization of mitochondrial network morphology more accurate, faster, and objective. This project currently consists of a set of Python scripts (and JAVA for the user interface) for the Fiji distribution of ImageJ.

Microbial BMAA elicits mitochondrial dysfunction, innate immunity activation, and Alzheimer’s disease features in cortical neurons

Loss of epitranscriptomic control of selenocysteine utilization engages senescence and mitochondrial reprogramming

Drp1-mediated mitochondrial fission regulates calcium and F-actin dynamics during wound healing

Depletion of oocyte dynamin-related protein 1 shows maternal-effect abnormalities in embryonic development

Reduced expression of Paternally Expressed Gene-3 enhances somatic cell reprogramming through mitochondrial activity perturbation

Sidestream Smoke Extracts from Harm-Reduction and Conventional Camel Cigarettes Inhibit Osteogenic Differentiation via Oxidative Stress and Differential Activation of intrinsic Apoptotic Pathways

Trimetazidine Improves Mitochondrial Dysfunction in SOD1G93A Cellular Models of Amyotrophic Lateral Sclerosis through Autophagy Activation

Study of an FBXO7 patient mutation reveals Fbxo7 and PI31 co-regulate proteasomes and mitochondria.


Repo for the R package coloc

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses

A more accurate method for colocalisation analysis allowing for multiple causal variants

GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

Mapping genetic determinants of 184 circulating proteins in 26,494 individuals to connect proteins and diseases

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into the complex genetic architecture

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects


Residual networks implementation using Keras-1.0 functional API

Deep Residual Learning for Image Recognition

Identity Mappings in Deep Residual Networks

Ludwig: a type-based declarative deep learning toolbox

New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey

High-quality strong lens candidates in the final Kilo Degree survey footprint

ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.

Vehicle classification using ResNets, localisation and spatially-weighted pooling


[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Core Challenges of Social Robot Navigation: A Survey

Relational Graph Learning for Crowd Navigation

Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation

Interaction Modeling with Multiplex Attention

Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity


The OpenABE library - open source cryptographic library with attribute-based encryption implementations in C/C++

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms

IEEE Transactions on Network and Service Management

Systematizing core properties of pairing-based attribute-based encryption to uncover remaining challenges in enforcing access control in practice

ABE Squared: Accurately Benchmarking Efficiency of Attribute-Based Encryption

IACR Transactions on Cryptographic Hardware and Embedded Systems

Too Many Options: A Survey of ABE Libraries for Developers

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

A Zero-Knowledge Revocable Credential Verification Protocol Using Attribute-Based Encryption

Application-Oriented Selection of Privacy Enhancing Technologies


This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

International Conference on Computer Vision

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations


Convolutional recurrent network in pytorch

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Text Recognition in the Wild: A Survey

Scene Text Image Super-Resolution in the Wild

Text Prior Guided Scene Text Image Super-Resolution

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

Text detection and recognition based on a lensless imaging system


An accurate GFF3/GTF lift over pipeline

Liftoff: accurate mapping of gene annotations

Liftoff: an accurate gene annotation mapping tool


Accelerating the development of large multimodal models (LMMs) with lmms-eval

LLaVA-OneVision: Easy Visual Task Transfer

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation

HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning

Multi-label Cluster Discrimination for Visual Representation Learning


Generate 3D objects conditioned on text or images

Shap-E: Generating Conditional 3D Implicit Functions

Next Steps for Human-Centered Generative AI: A Technical Perspective

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Large Language and Text-to-3D Models for Engineering Design Optimization

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation
  from Multi-View Diffusion

MicroDreamer: Zero-shot 3D Generation in ∼20 Seconds by Score-based
  Iterative Reconstruction


This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models


GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos

Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery

An approach for image annotation automatization for artificial intelligence models learning

Адаптивні системи автоматичного управління

Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos

CarFree: Hassle-Free Object Detection Dataset Generation Using Carla Autonomous Driving Simulator

Perspective-Corrected Spatial Referring Expression Generation for Human–Robot Interaction

Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images

Quevedo: Annotation and Processing of Graphical Languages

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


A Keras implementation of YOLOv3 (Tensorflow backend)

YOLOv3: An Incremental Improvement

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations

Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar

Fast eyes detection in thermal images

Application of a Model that Combines the YOLOv3 Object Detection Algorithm and Canny Edge Detection Algorithm to Detect Highway Accidents

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

Kidney Recognition in CT Using YOLOv3

Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction


An Efficient Lexical Analyzer for Chinese

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction

VCWE: Visual Character-Enhanced Word Embeddings

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

Recurrent Attention for Neural Machine Translation

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Discussion on Bilingual Cognition in International Exchange Activities

Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection


TensorFlow2 Reinforcement Learning

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

International Conference on Robotics and Automation

Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks

PIC4rl-gym: a ROS2 Modular Framework for Robots Autonomous Navigation with Deep Reinforcement Learning

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration

Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study

Proceedings of the 19th International Conference on Mining Software Repositories

Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning


Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6

Ribosomal DNA copy number amplification and loss in human cancers is linked to tumor genetic context, nucleolus activity, and proliferation

Transcriptome driven characterization of curly- and smooth-leafed endives reveals molecular differences in the sesquiterpenoid pathway

Evolutionary History, Genomic Adaptation to Toxic Diet, and Extinction of the Carolina Parakeet

Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing

elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling

A Noninvasive Multianalytical Approach for Lung Cancer Diagnosis of Patients with Pulmonary Nodules

The RNA-binding profile of the splicing factor SRSF6 in immortalized human pancreatic β-cells

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

Makorin 1 controls embryonic patterning by alleviating Bruno1-mediated repression of oskar translation


Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

Designing an Encoder for StyleGAN Image Manipulation

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

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

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild

DF40: Toward Next-Generation Deepfake Detection

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct
  Cross-modal Mapping and Geometric Regularization


中文自然语言处理工具包 Toolkit for Chinese natural language processing

Topic Memory Networks for Short Text Classification

Gated Recursive Neural Network for Chinese Word Segmentation

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

Applying deep matching networks to Chinese medical question answering: a study and a dataset

BMC medical informatics and decision making

A Bilingual Attention Network for Code-switched Emotion Prediction

International Conference on Computational Linguistics

Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information

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

Sentiment Classification towards Question-Answering with Hierarchical Matching Network

Empirical Methods in Natural Language Processing

Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

WaveGlow: A Flow-based Generative Network for Speech Synthesis

FastSpeech: Fast, Robust and Controllable Text to Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech

WaveFlow: A Compact Flow-based Model for Raw Audio

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

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

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units


python partial dependence plot toolbox

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

A Framework for Evaluating Post Hoc Feature-Additive Explainers

Model transparency and interpretability: survey and application to the insurance industry

Ensemble machine learning classification of daily living abilities among older people with HIV

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model

Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance


Taming Transformers for High-Resolution Image Synthesis

Vector-quantized Image Modeling with Improved VQGAN

Visual Prompting via Image Inpainting

Geometry-Free View Synthesis: Transformers and no 3D Priors

Aligning Latent and Image Spaces to Connect the Unconnectable

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

FlexIT: Towards Flexible Semantic Image Translation

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation


RAxML Next Generation: faster, easier-to-use and more flexible

RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

Sarbecovirus ORF6 proteins hamper induction of interferon signaling

Stone Age Yersinia pestis genomes shed light on the early evolution, diversity, and ecology of plague

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

Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain

An investigation of irreproducibility in maximum likelihood phylogenetic inference

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

Highly Pathogenic Avian Influenza A(H5N1) Virus Clade 2.3.4.4b Infections in Wild Terrestrial Mammals, United States, 2022

A comparative genomics approach for identifying host-range determinants in Streptococcus thermophilus bacteriophages

Characterization of the Complete Chloroplast Genomes of Buddleja colvilei and B. sessilifolia: Implications for the Taxonomy of Buddleja L.

Molecular epidemiology in current times


Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

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

Procedural Generation of Videos to Train Deep Action Recognition Networks

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning

Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models


Free football data from StatsBomb

Expected passes

Flexible marked spatio-temporal point processes with applications to event sequences from association football

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities

Learning Football Body-Orientation as a Matter of Classification

Distances for Comparing Multisets and Sequences

A data-driven framing of player and team performance in U.S. Women's soccer


State-of-the-Art Conversational AI with Transfer Learning

HuggingFace's Transformers: State-of-the-art Natural Language Processing

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

Large Language Models Can Be Strong Differentially Private Learners

You Impress Me: Dialogue Generation via Mutual Persona Perception

CAiRE: An End-to-End Empathetic Chatbot

A Large-Scale Chinese Short-Text Conversation Dataset

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations

Controlling Dialogue Generation with Semantic Exemplars

DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning

CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning


streamMetabolizer uses inverse modeling to estimate aquatic metabolism (photosynthesis and respiration) from time series data on dissolved oxygen, water temperature, depth, and light.

Scoured or suffocated: Urban stream ecosystems oscillate between hydrologic and dissolved oxygen extremes

The metabolic regimes of 356 rivers in the United States

Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes

Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams

Resistance and resilience of stream metabolism to high flow disturbances

Linking denitrification with ecosystem respiration in mountain streams

Metabolism Regimes in Regulated Rivers of the Illinois River Basin, USA

High Daily and Year-Round Variability in Denitrification and Nitrogen Fixation in a Northern Temperate River


PDF to XML ALTO file converter

The Semantic Scholar Open Data Platform

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

Multimodal Machine Learning for Extraction of Theorems and Proofs in the Scientific Literature

Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case

International Conference on Content-Based Multimedia Indexing

KIETA: Key-insight extraction from scientific tables


Creative Commons Attribution Share Alike 4.0 International

Open source remote sensing dataset with benchmarks


Phylogenetic orthology inference for comparative genomics

OrthoFinder: phylogenetic orthology inference for comparative genomics

Modular Traits of the Rhizobiales Root Microbiota and Their Evolutionary Relationship with Symbiotic Rhizobia

A super pan-genomic landscape of rice

PRMD: an integrated database for plant RNA modifications

A resource for improved predictions of Trypanosoma and Leishmania protein three-dimensional structure

A High-Quality Genome Sequence of Model Legume Lotus japonicus (MG-20) Provides Insights into the Evolution of Root Nodule Symbiosis

Improved Methods for Acetocarmine and Haematoxylin Staining to Visualize Chromosomes in the Filamentous Green Alga Zygnema (Charophyta)

bioRxiv : the preprint server for biology

Pan‐genome: A promising resource for noncoding RNA discovery in plants

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

Analysis of Spatio-Temporal Transcriptome Profiles of Soybean (Glycine max) Tissues during Early Seed Development

International journal of molecular sciences


Image to prompt with BLIP and CLIP

DEADiff: An Efficient Stylization Diffusion Model with Disentangled
  Representations

Benchmarking Deepart Detection

Prompting for Discovery: Flexible Sense-Making for AI Art-Making with Dreamsheets

GenAssist: Making Image Generation Accessible

Prompt Expansion for Adaptive Text-to-Image Generation

A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model

IntentTuner: An Interactive Framework for Integrating Human Intents in
  Fine-tuning Text-to-Image Generative Models

Diffusing Colors: Image Colorization with Text Guided Diffusion

VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models


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 for genome assembly: 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


LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

WizardLM: Empowering Large Language Models to Follow Complex Instructions

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Instruction Tuning for Large Language Models: A Survey

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

AlpaGasus: Training A Better Alpaca with Fewer Data

OctoPack: Instruction Tuning Code Large Language Models

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

A Survey on Large Language Models for Software Engineering

Lion: Adversarial Distillation of Proprietary Large Language Models

UltraMedical: Building Specialized Generalists in Biomedicine


(OLD REPO) Line-by-line profiling for Python - Current repo ->

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices

Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines

Programming Real-Time Sound in Python

Analysis of an application delivery platform for software defined infrastructures

International Journal of Communication Networks and Distributed Systems

Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers

Proceedings of the Python in Science Conferences


Forum for discussing Internet censorship circumvention

Measuring and Evading Turkmenistan’s Internet Censorship


Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Soft Actor-Critic Algorithms and Applications

Better Exploration with Optimistic Actor-Critic

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment

Measuring and Harnessing Transference in Multi-Task Learning

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels

Empirical Design in Reinforcement Learning

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Distillation Policy Optimization


Open Data su consegna e somministrazione dei vaccini anti COVID-19 in Italia - Commissario straordinario per l'emergenza Covid-19

The effect of mandatory COVID-19 certificates on vaccine uptake: synthetic-control modelling of six countries

The effect of COVID-19 vaccination in Italy and perspectives for “living with the virus”

Rapid displacement of SARS-CoV-2 variant Delta by Omicron revealed by allele-specific PCR in wastewater

Estimating averted COVID-19 cases, hospitalisations, intensive care unit admissions and deaths by COVID-19 vaccination, Italy, January-September 2021.

What Is the Willingness to Receive Vaccination Against COVID-19 Among the Elderly in Italy? Data From the PASSI d'Argento Surveillance System

Homophily impacts the success of vaccine roll-outs

Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model

Impact of antigen test target failure and testing strategies on the transmission of SARS-CoV-2 variants

Perceived risk and vaccine hesitancy:Quasi-experimental evidence from Italy

Switched forced SEIRDV compartmental models to monitor COVID-19 spread and immunization in Italy


PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Momentum Contrast for Unsupervised Visual Representation Learning

Improved Baselines with Momentum Contrastive Learning

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Contrastive Learning with Hard Negative Samples

Hard Negative Mixing for Contrastive Learning

See through Gradients: Image Batch Recovery via GradInversion

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

8-bit Optimizers via Block-wise Quantization

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

Instance Localization for Self-supervised Detection Pretraining


An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Skeleton-aware networks for deep motion retargeting

Unpaired motion style transfer from video to animation

HuMoT: Human Motion Representation using Topology-Agnostic Transformers for Character Animation Retargeting


Implementation of Sequence Generative Adversarial Nets with Policy Gradient

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Adversarial Ranking for Language Generation

Toward Diverse Text Generation with Inverse Reinforcement Learning

Jointly Measuring Diversity and Quality in Text Generation Models

Generative adversarial networks in time series: A survey and taxonomy

Code-switched Language Models Using Dual RNNs and Same-Source Pretraining

CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling

Nominal Metaphor Generation with Multitask Learning


A trajectory optimization library for Matlab

Toward an Expressive Bipedal Robot: Variable Gait Synthesis and Validation in a Planar Model

International Journal of Social Robotics

Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation

Direct Shooting Method for Numerical Optimal Control: A Modified Transcription Approach


Platypus Variant Caller

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Whole-genome sequencing of spermatocytic tumors provides insights into the mutational processes operating in the male germline

Interactions between genetics and environment shape Camelina seed oil composition

Computer Architecture-Aware Optimisation of DNA Analysis Systems


small mammals brain MRI

Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python

Broad Influence of Mutant Ataxin-3 on the Proteome of the Adult Brain, Young Neurons, and Axons Reveals Central Molecular Processes and Biomarkers in SCA3/MJD Using Knock-In Mouse Model

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice

SCA7 mice recapitulate CNS, PNS and retina pathologies and show a transcriptional signature of Purkinje cell dysfunction prevailing in SCA1 and SCA2 mice.


LZFSE compression library and command line tool

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

Lightweight compression with encryption based on Asymmetric Numeral
  Systems

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

Fat Pointers for Temporal Memory Safety of C

The Efficiency of the ANS Entropy Encoding


Convert 10x BAM files to the original FASTQs compatible with 10x pipelines

DISCO: a database of Deeply Integrated human Single-Cell Omics data

GepLiver: an integrative liver expression atlas spanning developmental stages and liver disease phases

Telomemore enables single-cell analysis of cell cycle and chromatin condensation


A robust Python tool for text-based AI training and generation using GPT-2.

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots

DAVE: Deriving Automatically Verilog from English

Teaching Autoregressive Language Models Complex Tasks By Demonstration

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models


A little tool to play with Windows security

Industrial and Critical Infrastructure Security: Technical Analysis of Real-Life Security Incidents

Leveraging operational technology and the Internet of things to attack smart buildings

The Sorry State of TLS Security in Enterprise Interception Appliances

SoK: A Survey of Open-Source Threat Emulators

Decomposition and sequential-AND analysis of known cyber-attacks on critical infrastructure control systems

Evaluation of Local Security Event Management System vs. Standard Antivirus Software

Building Machine Learning-based Threat Hunting System from Scratch

Hypervisor-Based Active Data Protection for Integrity and Confidentiality of Dynamically Allocated Memory in Windows Kernel

The epidemiology of lateral movement: exposures and countermeasures with network contagion models

Security Analysis and Bypass User Authentication Bound to Device of Windows Hello in the Wild


ACOLITE: generic atmospheric correction module

Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

Zenodo (CERN European Organization for Nuclear Research)

Analysis and Classification of Stormwater and Wastewater Runoff From the Tijuana River Using Remote Sensing Imagery

Validation of Landsat 8 high resolution Sea Surface Temperature using surfers


Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Neural Controlled Differential Equations for Irregular Time Series

Scalable Gradients for Stochastic Differential Equations

On Neural Differential Equations

Neural SDEs as Infinite-Dimensional GANs

Efficient and Accurate Gradients for Neural SDEs

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics

Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data

Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric

Latent Neural Stochastic Differential Equations for Change Point Detection


Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.

Generation of Data-Driven Expected Energy Models for Photovoltaic Systems


A machine learning tool for fishing entities

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

Covid-on-the-Web: Exploring the COVID-19 scientific literature through visualization of linked data from entity and argument mining

Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction

The Kairntech Sherpa – An ML Platform and API for the Enrichment of (not only) Scientific Content

Annotating Entities with Fine-Grained Types in Austrian Court Decisions


RSEM: accurate quantification of gene and isoform expression from RNA-Seq data

The Transcription Factor bZIP60 Links the Unfolded Protein Response to the Heat Stress Response in Maize.

Methods to Study Splicing from High-Throughput RNA Sequencing Data

SPLICEOSOMAL PRE-MRNA SPLICING: METHODS AND PROTOCOLS

A simple guide to de novo transcriptome assembly and annotation

Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction

WWP2 regulates pathological cardiac fibrosis by modulating SMAD2 signaling

Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

Mitochondrial Ca2+ Overload Leads to Mitochondrial Oxidative Stress and Delayed Meiotic Resumption in Mouse Oocytes

Frontiers in cell and developmental biology

Translational control of one-carbon metabolism underpins ribosomal protein phenotypes in cell division and longevity

Chromosome-level assembly and analysis of the Thymus genome provide insights into glandular secretory trichome formation and monoterpenoid biosynthesis in thyme


The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

IEEE transactions on pattern analysis and machine intelligence

Towards Fast, Accurate and Stable 3D Dense Face Alignment

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

Face Forgery Detection by 3D Decomposition

Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing

DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image

Face Synthesis for Eyeglass-Robust Face Recognition

SPACE: Speech-driven Portrait Animation with Controllable Expression

GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations

Towards Pose-invariant Lip-Reading


Public repository for the Monte Python Code

Strongest model-independent bound on the lifetime of Dark Matter

Journal of Cosmology and Astroparticle Physics

Cosmological viable models in f(T,B) gravity as solutions to the H_0
  tension

A deep learning approach to cosmological dark energy models

Cosmological constraints on induced gravity dark energy models

Quantifying Suspiciousness within correlated data sets

Monthly Notices of the Royal Astronomical Society

Inverse Cosmography: testing the effectiveness of cosmographic polynomials using machine learning

Can decaying dark matter scenarios alleviate both H0 and σ8 tensions?

Monthly notices of the Royal Astronomical Society

Kinetically Coupled Scalar Fields Model and Cosmological Tensions

Particle production during inflation: a Bayesian analysis with CMB data from Planck 2018

Dark Matter Cosmology with Varying Viscosity: a Possible Resolution to the S_8 Tension


Official repo for consistency models.

Consistency Models

One-step Diffusion with Distribution Matching Distillation

A Geometric Perspective on Diffusion Models

Unified Discrete Diffusion for Categorical Data


Single-Cell Genotyping Tool

Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

Whole-organism eQTL mapping at cellular resolution with single-cell sequencing

Single-cell transcriptional regulation and genetic evolution of neuroendocrine prostate cancer

Single-cell RNA sequencing reveals spatiotemporal heterogeneity and malignant progression in pancreatic neuroendocrine tumor

International journal of biological sciences

Clonal competition within complex evolutionary hierarchies shapes AML over time

Alleloscope: Integrative single cell analysis of allele-specific copy number alterations and chromatin accessibility in cancer

Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction

A single cell atlas of sexual development inPlasmodium falciparum

The impact of neoadjuvant chemotherapy on the tumor microenvironment in advanced high-grade serous carcinoma


Bayes Net Toolbox for Matlab

Causality-based Feature Selection: Methods and Evaluations

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs

Efficient Attack Graph Analysis through Approximate Inference

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning

Risk analysis : an official publication of the Society for Risk Analysis

Cause vs. effect in context-sensitive prediction of business process instances

A Review on Algorithms for Constraint-based Causal Discovery

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

International journal of environmental research and public health

A Recursive Markov Boundary-Based Approach to Causal Structure Learning

Causality-Aided Falsification

Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach


Graphormer is a general-purpose deep learning backbone for molecular modeling.

Do Transformers Really Perform Bad for Graph Representation?

Meta-Transformer: A Unified Framework for Multimodal Learning

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks

RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking

Stepping Back to SMILES Transformers for Fast Molecular Representation Inference

Lo-Hi: Practical ML Drug Discovery Benchmark

Substructure-Atom Cross Attention for Molecular Representation Learning

Gradformer: Graph Transformer with Exponential Decay


Distributed deep learning on Hadoop and Spark clusters.

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Productivity, Portability, Performance: Data-Centric Python

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

Scanner: Efficient Video Analysis at Scale

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications

DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters

What does fault tolerant Deep Learning need from MPI?

Barista - a Graphical Tool for Designing and Training Deep Neural Networks


DELLY2: Structural variant discovery by integrated paired-end and split-read analysis

Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort

Longshot enables accurate variant calling in diploid genomes from single-molecule long read sequencing

Whole-genome CNV analysis: advances in computational approaches

Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features

Parliament2: Accurate structural variant calling at scale

Structure-function analysis of oncogenic EGFR Kinase Domain Duplication reveals insights into activation and a potential approach for therapeutic targeting

Reference SVA insertion polymorphisms are associated with Parkinson’s Disease progression and differential gene expression

Analysis pipelines for cancer genome sequencing in mice

A locus conferring tolerance to Theileria infection in African cattle

PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes


SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

SOLOv2: Dynamic and Fast Instance Segmentation

SOLO: Segmenting Objects by Locations

Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation


PyTorch code and models for the DINOv2 self-supervised learning method.

DINOv2: Learning Robust Visual Features without Supervision

Vision Transformers Need Registers

Probing the 3D Awareness of Visual Foundation Models

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

A General-Purpose Self-Supervised Model for Computational Pathology

Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs

Low-resource finetuning of foundation models beats state-of-the-art in histopathology


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


GraftM - Rapid community profiles from metagenomes

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

GraftM: a tool for scalable, phylogenetically informed classification of genes within metagenomes

Back from the dead; the curious tale of the predatory cyanobacterium Vampirovibrio chlorellavorus

Differences in Ureolytic Bacterial Composition between the Rumen Digesta and Rumen Wall Based on ureC Gene Classification

Archaea dominate the microbial community in an ecosystem with low-to-moderate temperature and extreme acidity

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Legume crop rotation suppressed nitrifying microbial community in a sugarcane cropping soil

Response of Microbial Community Function to Fluctuating Geochemical Conditions within a Legacy Radioactive Waste Trench Environment


Regression Modeling Strategies

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Prediction of Global Functional Outcome and Post-Concussive Symptoms after Mild Traumatic Brain Injury: External Validation of Prognostic Models in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study

A novel ferroptosis-related gene signature for overall survival prediction and immune infiltration in patients with breast cancer

Landscape of exitrons in gastric cancer

Development and Validation of a Nomogram for Preoperative Prediction of Early Recurrence after Upfront Surgery in Pancreatic Ductal Adenocarcinoma by Integrating Deep Learning and Radiological Variables

An Immune Signature Robustly Predicts Clinical Deterioration for Hepatitis C Virus-Related Early-Stage Cirrhosis Patients


System for Medical Concept Extraction and Linking

Knowledge grounded medical dialogue generation using augmented graphs

Clinical concept recognition: Evaluation of existing systems on EHRs

Improving Summarization with Human Edits

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation

A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing


Leaf: A Benchmark for Federated Settings

LEAF: A Benchmark for Federated Settings

Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Overcoming Noisy and Irrelevant Data in Federated Learning

Cluster-driven Graph Federated Learning over Multiple Domains

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

EasyFL: A Low-Code Federated Learning Platform for Dummies

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

FedEval: A Holistic Evaluation Framework for Federated Learning

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD


Fast and flexible Gaussian Process regression in Python

Fast Direct Methods for Gaussian Processes

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

A rocky planet transiting a nearby low-mass star

Extending the modeling of the anisotropic galaxy power spectrum to k = 0.4 hMpc−1

Constraints on the interacting vacuum-geodesic CDM scenario

An Ultra-short Period Rocky Super-Earth with a Secondary Eclipse and a Neptune-like Companion around K2-141

Warm terrestrial planet with half the mass of Venus transiting a nearby star

A precise optical transmission spectrum of the inflated exoplanet WASP-52b

The spectral energy distribution of powerful starburst galaxies - I. Modelling the radio continuum

Non-detection of HC11N towards TMC-1: constraining the chemistry of large carbon-chain molecules


A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

Learning to Compose Dynamic Tree Structures for Visual Contexts

Recovering the Unbiased Scene Graphs from the Biased Ones

roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs

Iterative Scene Graph Generation

Adaptive Fine-Grained Predicates Learning for Scene Graph Generation

Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures

Dual-Branch Hybrid Learning Network for Unbiased Scene Graph Generation

Cross-Modal Graph with Meta Concepts for Video Captioning

Improving Scene Graph Generation with Superpixel-Based Interaction Learning


Connect suppliers, distributors and consumers to trade local produce.


An open-source platform for developing protein models beyond AlphaFold.

Highly accurate protein structure prediction with AlphaFold

Uni-Fold: An Open-Source Platform for Developing Protein Folding Models beyond AlphaFold

Modelling protein complexes with crosslinking mass spectrometry and deep learning

Current progress, challenges, and future perspectives of language models for protein representation and protein design

Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design

Uni-Fold Symmetry: Harnessing Symmetry in Folding Large Protein Complexes

Accurate Conformation Sampling via Protein Structural Diffusion


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

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

TAPE: Assessing Few-shot Russian Language Understanding

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


Interactively explore metagenomes and more from a web browser.

Engineering of CRISPR-Cas12b for human genome editing

Fungal community assembly in drought-stressed sorghum shows stochasticity, selection, and universal ecological dynamics

AAI-profiler: fast proteome-wide exploratory analysis reveals taxonomic identity, misclassification and contamination

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Target-Pathogen: a structural bioinformatic approach to prioritize drug targets in pathogens

TaxonTableTools - A comprehensive, platform-independent graphical user interface software to explore and visualise DNA metabarcoding data

A benchmark dataset of herbarium specimen images with label data

Does Organic Farming Increase Raspberry Quality, Aroma and Beneficial Bacterial Biodiversity?

Ruminal resistome of dairy cattle is individualized and the resistotypes are associated with milking traits

High-Throughput Cultivation for the Selective Isolation of Acidobacteria From Termite Nests


ACCESS-OM2 global ocean - sea ice coupled model configurations.

ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions

Recent reduced abyssal overturning and ventilation in the Australian Antarctic Basin

Drivers and distribution of global ocean heat uptake over the last half century

Persistence and material coherence of a mesoscale ocean eddy

Weddell Sea Control of Ocean Temperature Variability on the Western Antarctic Peninsula

Study of Phytoplankton Biomass and Environmental Drivers in and around the Ross Sea Marine Protected Area

Journal of Marine Science and Engineering


Anomaly Detection with R

A review on outlier/anomaly detection in time series data

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Automatic Anomaly Detection in the Cloud Via Statistical Learning

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

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data

Unsupervised Anomaly Detection Approach for Time-Series in Multi-Domains Using Deep Reconstruction Error

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

Computer Software and Applications Conference

RePAD: Real-time Proactive Anomaly Detection for Time Series

Precision and Recall for Range-Based Anomaly Detection


Geo Spatial Data Analytics on Spark

A Survey on Spatio-temporal Data Analytics Systems

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Adaptive Geospatial Joins for Modern Hardware

PARALLEL PROCESSING OF BIG POINT CLOUDS USING Z-ORDER-BASED PARTITIONING

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

Three-dimensional Geospatial Interlinking with JedAI-spatial

APRIL: Approximating Polygons as Raster Interval Lists


Vector (and Scalar) Quantization, in Pytorch

Neural Discrete Representation Learning

SoundStream: An End-to-End Neural Audio Codec

Self-supervised Learning with Random-projection Quantizer for Speech Recognition

Finite Scalar Quantization: VQ-VAE Made Simple

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Discrete Key-Value Bottleneck

Vector Quantized Time Series Generation with a Bidirectional Prior Model

Towards image compression with perfect realism at ultra-low bitrates

Exploration into Translation-Equivariant Image Quantization

Masked Generative Modeling with Enhanced Sampling Scheme


mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Scenic: a language for scenario specification and data generation

An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

Detection of Waste Containers Using Computer Vision

New Dark Area Sensitive Tone Mapping for Deep Learning Based Traffic Sign Recognition

Computational classification of animals for a highway detection system

Brazilian Journal of Veterinary Research and Animal Science

Ensembling object detectors for image and video data analysis

Sistem Pendeteksi Genus Gulma Pada Tanaman Jagung Menggunakan Algoritme Single Shot Detector

Robust In-Plane Structures Oscillation Monitoring by Terrestrial Photogrammetry


An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on a straight Arduino

Intrinsic motivation and episodic memories for robot exploration of high-dimensional sensory spaces

Opportunities for Robotic Systems and Automation in Cotton Production

Design and Implementation of an Urban Farming Robot

Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning

Ecology of fear in highly invasive fish revealed by robots

How particle shape affects granular segregation in industrial and geophysical flows

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

Opportunistic and Location-Based Collaboration Architecture among Mobile Assets and Fixed Manufacturing Processes

Concept for a precise academic Gripper


An ontology of core ecological entities

FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies


A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.

Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing

Neural dynamics of sentiment processing during naturalistic sentence reading


Data and analysis for NA12878 genome on nanopore

Nanopore sequencing and assembly of a human genome with ultra-long reads

Nanopore native RNA sequencing of a human poly(A) transcriptome

RNA modifications detection by comparative Nanopore direct RNA sequencing

Beyond mass spectrometry, the next step in proteomics

A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes

Profiling the genome-wide landscape of tandem repeat expansions

DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation

Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification

The RNA Atlas expands the catalog of human non-coding RNAs

Zenodo (CERN European Organization for Nuclear Research)

Interrogating the “unsequenceable” genomic trinucleotide repeat disorders by long-read sequencing


General Speech Restoration

VoiceFixer: Toward General Speech Restoration with Neural Vocoder

VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration

Neural Vocoder is All You Need for Speech Super-resolution

Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration

SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling


Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

SpeedySpeech: Efficient Neural Speech Synthesis

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics


A toolbox for working with Allen Human Brain Atlas microarray expression data

Standardizing workflows in imaging transcriptomics with the abagen toolbox

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

Brain atrophy progression in Parkinson’s disease is shaped by connectivity and local vulnerability

Connectivity alterations in autism reflect functional idiosyncrasy

A dynamic gradient architecture generates brain activity states

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation

Human cortex development is shaped by molecular and cellular brain systems

bioRxiv : the preprint server for biology


Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Conditional Image Generation with PixelCNN Decoders

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Fixing a Broken ELBO

How good is my GAN?

Dual Supervised Learning

A Less Biased Evaluation of Out-of-distribution Sample Detectors

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

An information-theoretic analysis of deep latent-variable models

Fast Generation for Convolutional Autoregressive Models

Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors


Models and optimizes capacity & dispatch of electricity supply systems, off-grid or connected to a (weak) central grid


A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion

Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation

CNN-based event classification of alpha-decay events in nuclear emulsion

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

Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition

Generative Adversarial Networks for Morphological–Temporal Classification of Stem Cell Images

Similar Image Retrieval using Autoencoder. I. Automatic Morphology Classification of Galaxies

A Novel Incremental Cross-Modal Hashing Approach

Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification


Evolutionary algorithm toolbox and framework with high performance for Python

Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search

A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization

Enhancing Multi-Objective Optimization with Automatic Construction of Parallel Algorithm Portfolios


A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

Tacotron: Towards End-to-End Speech Synthesis

A Survey on Neural Speech Synthesis

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop

AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms

Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion

Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation

ICE-Talk: an Interface for a Controllable Expressive Talking Machine


The repository containing tools and information about the WoodScape dataset.

WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras

Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving.

Surround-View Cameras based Holistic Visual Perception for Automated Driving


Creative Commons Attribution 4.0 International

ARTIC nanopore protocol for nCoV2019 novel coronavirus

Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission

Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study

Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities

In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2

Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

Genomic epidemiology identifies emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States

medRxiv : the preprint server for health sciences

Emergence and expansion of SARS-CoV-2 B.1.526 after identification in New York

Stability of SARS-CoV-2 phylogenies

The UCSC SARS-CoV-2 Genome Browser

Complete Genome Sequence of SARS-CoV-2 in a Tiger from a U.S. Zoological Collection


Make huge neural nets fit in memory

Training Deep Nets with Sublinear Memory Cost

Memory-Efficient Backpropagation Through Time

i-flow: High-dimensional Integration and Sampling with Normalizing Flows

Machine Learning: Science and Technology

A Practical Survey on Faster and Lighter Transformers

Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training

Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network

Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method

FetusMap: Fetal Pose Estimation in 3D Ultrasound

Full-Glow: Fully conditional Glow for more realistic image generation


Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Explainable AI Methods - A Brief Overview

Toward Explainable AI for Regression Models

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

Optimizing Explanations by Network Canonization and Hyperparameter Search

Explainable audio Classification of Playing Techniques with Layer-wise Relevance Propagation

IEEE International Conference on Acoustics, Speech, and Signal Processing


GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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

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

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Effects of Generative Chatbots in Higher Education

Transformer models: an introduction and catalog

GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation


FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.

FIELDimageR: An R package to analyze orthomosaic images from agricultural field trials


An extension of xarray for climate data analysis on structured grids.


annotate a VCF with other VCFs/BEDs/tabixed files

Vcfanno: fast, flexible annotation of genetic variants

Clinical relevance of molecular characteristics in Burkitt lymphoma differs according to age

Resources for Interpreting Variants in Precision Genomic Oncology Applications

Scalable approaches for functional analyses of whole-genome sequencing non-coding variants

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Skim-Sequencing Based Genotyping Reveals Genetic Divergence of the Wild and Domesticated Population of Black Tiger Shrimp (Penaeus monodon) in the Indo-Pacific Region

TiSAn: estimating tissue-specific effects of coding and non-coding variants


Wasserstein GAN

Variational Approaches for Auto-Encoding Generative Adversarial Networks

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

SynFi: Automatic Synthetic Fingerprint Generation

An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation

International Joint Conference on Neural Network

Ensembles of Generative Adversarial Networks for Disconnected Data


Spearmint Bayesian optimization codebase

Practical Bayesian Optimization of Machine Learning Algorithms

A Tutorial on Bayesian Optimization

AutoML: A survey of the state-of-the-art

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Multi-Task Bayesian Optimization

Explainable Prediction of Medical Codes from Clinical Text

Bayesian Optimization with Unknown Constraints

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

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

CMA-ES for Hyperparameter Optimization of Deep Neural Networks


Open Source Flight Controller Firmware

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight

NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Autonomous Drone Racing: A Survey

Neuroflight: Next Generation Flight Control Firmware

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Flight Controller Synthesis Via Deep Reinforcement Learning

IMU2Face: Real-time Gesture-driven Facial Reenactment

Race Against the Machine: A Fully-Annotated, Open-Design Dataset of Autonomous and Piloted High-Speed Flight


Dingo: Deep inference for gravitational-wave observations

Real-time gravitational-wave science with neural posterior estimation

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Flow Matching for Scalable Simulation-Based Inference

Group equivariant neural posterior estimation

Evidence for eccentricity in the population of binary black holes
  observed by LIGO-Virgo-KAGRA

Self-supervised learning for gravitational wave signal identification

Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review


Automated, hardware-independent Hand-Eye Calibration

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Camera-to-Robot Pose Estimation from a Single Image

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

A Universal Semantic-Geometric Representation for Robotic Manipulation

Generative Image as Action Models


Minimal keyword extraction with BERT

Natural Language Processing in-and-for Design Research

Generative Transformers for Design Concept Generation

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction

IFIP advances in information and communication technology

Retrieval augmentation of large language models for lay language generation

LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction

Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge

Enhancing patent retrieval using text and knowledge graph embeddings: a technical note

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation


n2p2 - A Neural Network Potential Package

Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels

Ab initio structure and thermodynamics of the RPBE-D3 water/vapor interface by neural-network molecular dynamics.

Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential

Insights into lithium manganese oxide-water interfaces using machine learning potentials.

Phonon-induced localization of excitons in molecular crystals from first principles

Improved description of atomic environments using low-cost polynomial functions with compact support

Implementing a neural network interatomic model with performance portability for emerging exascale architectures

Natural aging and vacancy trapping in Al-6xxx


⚡⚡⚡Blazing fast correlation functions on the CPU.

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

Monthly Notices of the Royal Astronomical Society

CORRFUNC - a suite of blazing fast correlation functions on the CPU

Nearest neighbour distributions: New statistical measures for cosmological clustering

Spatial clustering of dark matter haloes: Secondary bias, neighbour bias, and the influence of massive neighbours on halo properties

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the halo occupation distribution model for emission line galaxies

How Are Galaxies Assigned to Halos? Searching for Assembly Bias in the SDSS Galaxy Clustering

Cosmological cross-correlations and nearest neighbour distributions

Monthly notices of the Royal Astronomical Society

Semi-analytic forecasts for JWST -- VI. Simulated lightcones and galaxy
  clustering predictions

Accurate Modelling of Galaxy Clustering on Small Scales: Testing the Standard ΛCDM + Halo Model

Do model emission line galaxies live in filaments at z similar to 1?


The second version of the Kraken taxonomic sequence classification system

A simple guide to de novo transcriptome assembly and annotation

A deep learning approach to pattern recognition for short DNA sequences

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets

Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians

PuffAligner: a fast, efficient and accurate aligner based on the Pufferfish index

Microbial Identification Using rRNA Operon Region: Database and Tool for Metataxonomics with Long-Read Sequence

Bioinformatic approaches for studying the microbiome of fermented food

Shotgun Metagenomics Study Suggests Alteration in Sulfur Metabolism and Oxidative Stress in Children with Autism and Improvement after Microbiota Transfer Therapy

International journal of molecular sciences

Characteristics and Correlations of the Oral and Gut Fungal Microbiome with Hypertension


:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

A Survey on Multimodal Large Language Models

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

An Empirical Study of Challenges in Machine Learning Asset Management

Don't Miss the Forest for the Trees: Attentional Vision Calibration for
  Large Vision Language Models


[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

VideoChat: Chat-Centric Video Understanding

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

FunQA: Towards Surprising Video Comprehension

Explainable Multimodal Emotion Reasoning

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models

LVCHAT: Facilitating Long Video Comprehension

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


Problem Agnostic Speech Encoder

Adversarial Autoencoders

Multi-task self-supervised learning for Robust Speech Recognition

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

Self-supervised audio representation learning for mobile devices

Multi-Task Self-Supervised Pre-Training for Music Classification

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech

On permutation invariant training for speech source separation


Reading Wikipedia to Answer Open-Domain Questions

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Open Question Answering over Tables and Text

Open-Retrieval Conversational Question Answering

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

Differentiable Reasoning over a Virtual Knowledge Base

SberQuAD -- Russian Reading Comprehension Dataset: Description and
  Analysis

Answering Open-Domain Questions of Varying Reasoning Steps from Text

Training a Ranking Function for Open-Domain Question Answering


mPLUG-Owl: The Powerful Multi-modal Large Language Model  Family

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Unified Hallucination Detection for Multimodal Large Language Models

Examining Gender and Racial Bias in Large Vision-Language Models Using a
  Novel Dataset of Parallel Images

Explainable Multimodal Emotion Reasoning

PhD: A Prompted Visual Hallucination Evaluation Dataset

VideoCon: Robust Video-Language Alignment via Contrast Captions

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

VideoPhy: Evaluating Physical Commonsense for Video Generation


Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

Point Transformer

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Stratified Transformer for 3D Point Cloud Segmentation

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Mix3D: Out-of-Context Data Augmentation for 3D Scenes

OctFormer: Octree-based Transformers for 3D Point Clouds


MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

MMBench: Is Your Multi-modal Model an All-around Player?

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

MiniCPM-V: A GPT-4V Level MLLM on Your Phone

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness

Efficient Multimodal Large Language Models: A Survey

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation

Evaluating Task-based Effectiveness of MLLMs on Charts

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large
  Language Models


Image Deblurring using Generative Adversarial Networks

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

GAN Based Image Deblurring Using Dark Channel Prior

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

Face and Body-Based Human Recognition by GAN-Based Blur Restoration


"Between the darkness and the dawn, a red cube rises!":  a proof assistant for cartesian cubical type theory

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Proceedings of the ACM on Programming Languages

Normalization for Cubical Type Theory

Logical Relations as Types: Proof-Relevant Parametricity for Program Modules

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Parametric Cubical Type Theory

The Integers as a Higher Inductive Type

Formalizing π4(S3) ≅Z/2Z and Computing a Brunerie Number in Cubical Agda

Naive cubical type theory

Cubical methods in homotopy type theory and univalent foundations

Mathematical Structures in Computer Science

Domain Theory in Constructive and Predicative Univalent Foundations


A library for debugging/inspecting machine learning classifiers and explaining their predictions

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Prediction of Mean Wave Overtopping Discharge Using Gradient Boosting Decision Trees

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Named Entity Recognition for Sensitive Data Discovery in Portuguese

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

ferret: a Framework for Benchmarking Explainers on Transformers

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities

Transfer Learning Facilitates the Prediction of Polymer-Surface Adhesion Strength


A constant throughput, correct latency recording variant of wrk

FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices

FaaSdom: a benchmark suite for serverless computing

Retrofitting effect handlers onto OCaml

Programming Language Design and Implementation

X-search: revisiting private web search using intel SGX

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference

Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders

Kollaps: Decentralized and Dynamic Topology Emulation

CONFLLVM: A Compiler for Enforcing Data Confidentiality in Low-Level Code

PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems

Symposium on Reliable Distributed Systems

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

CAP-VMs: Capability-Based Isolation and Sharing for Microservices


A general-purpose encoder-decoder framework for Tensorflow

BLEURT: Learning Robust Metrics for Text Generation

Massive Exploration of Neural Machine Translation Architectures

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

Effective Domain Mixing for Neural Machine Translation

Proceedings of the Second Conference on Machine Translation

OpenNMT: Open-source Toolkit for Neural Machine Translation

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection

Efficient Attention using a Fixed-Size Memory Representation

Optimizing seed inputs in fuzzing with machine learning

Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation

International Conference on Natural Language Generation

A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset

Annual Meeting of the Special Interest Group on Discourse and Dialogue


Python package for process-oriented climate modeling


Open and Affordable Quantitative Imaging Platform


CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Evaluating Large Language Models Trained on Code

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

A survey of Generative AI Applications

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

Understanding LLMs: A Comprehensive Overview from Training to Inference

A Survey on Large Language Models for Software Engineering

A Survey on Natural Language Processing for Programming


A multi-scale energy systems modelling framework

Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability

Adequacy of time-series reduction for renewable energy systems

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

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


PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey

Deep Reinforcement Learning for Trading—A Critical Survey

International Conference on Data Technologies and Applications


A data utility for tracking climate action


papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

How to capitalize on a priori contrasts in linear (mixed) models: A tutorial

An excess of positive results: Comparing the standard Psychology literature with Registered Reports

Advances in Methods and Practices in Psychological Science

Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition

Why the Cross-Lagged Panel Model Is Almost Never the Right Choice

Toward a Neurobiologically Plausible Model of Language-Related, Negative Event-Related Potentials

Personality Associations With Smartphone and Internet Use Disorder: A Comparison Study Including Links to Impulsivity and Social Anxiety

The impact of COVID‐19 on the cancer care of adolescents and young adults and their well‐being: Results from an online survey conducted in the early stages of the pandemic

Dark and bright patterns in cookie consent requests

Early language experience in a Papuan community

On the Statistical and Practical Limitations of Thurstonian IRT Models

Educational and psychological measurement


Python utilities for Cytoscape and Cytoscape.js

Cytoscape Automation: empowering workflow-based network analysis

CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API

Identifier Mapping in Cytoscape

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

eXamine: Visualizing annotated networks in Cytoscape

Production of Epoxyketone Peptide-Based Proteasome Inhibitors by Streptomyces sp. BRA-346: Regulation and Biosynthesis


Axon is a spiking, biologically-based neural model driven by predictive error-driven learning, for systems-level models of the brain

Illuminating dendritic function with computational models

NMDA and GABAB (KIR) conductances: the "perfect couple" for bistability

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

Deep Predictive Learning in Neocortex and Pulvinar

Locally Learned Synaptic Dropout for Complete Bayesian Inference


Functional tensors for probabilistic programming

Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs

Functional Tensors for Probabilistic Programming

Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language

Variationally Inferred Sampling through a Refined Bound

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs


Bringing Old Photo Back to Life (CVPR 2020 oral)

Bringing Old Photos Back to Life

Old Photo Restoration via Deep Latent Space Translation

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension

Restoration and Enhancement of Historical Stereo Photos


PyAutoFit: Classy Probabilistic Programming

Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

PyAutoLens: Open-Source Strong Gravitational Lensing

Automated galaxy-galaxy strong lens modelling: no lens left behind

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Testing strong lensing subhalo detection with a cosmological simulation

Scanning For Dark Matter Subhalos in Hubble Space Telescope Imaging of 54 Strong Lenses

The kinematics of massive high-redshift dusty star-forming galaxies


Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

A Contextual-Bandit Approach to Personalized News Article Recommendation

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

LogUCB: an explore-exploit algorithm for comments recommendation

International Conference on Information and Knowledge Management

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model

Off-Policy Evaluation for Large Action Spaces via Embeddings

Evaluating the Robustness of Off-Policy Evaluation

Policy-Adaptive Estimator Selection for Off-Policy Evaluation

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy
  Decomposition


python module to plot beautiful and highly customizable genome browser tracks

pyGenomeTracks: reproducible plots for multivariate genomic datasets

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

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing

Cell-type specific profiling of histone post-translational modifications in the adult mouse striatum

ZCWPW1 loss-of-function variants in Alzheimer's Disease

CONTEXT-INDEPENDENT FUNCTION OF A CHROMATIN BOUNDARY IN VIVO


Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Prioritized Experience Replay

Soft Actor-Critic Algorithms and Applications

An Introduction to Deep Reinforcement Learning

Foundations and Trends® in Machine Learning

Model-Based Reinforcement Learning for Atari

Implicit Quantile Networks for Distributional Reinforcement Learning

Dopamine: A Research Framework for Deep Reinforcement Learning

Deep Reinforcement Learning

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Reinforcement Learning based Curriculum Optimization for Neural Machine Translation


A fast and robust point cloud registration library

TEASER: Fast and Certifiable Point Cloud Registration

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Fast and Robust Iterative Closest Point

IEEE transactions on pattern analysis and machine intelligence

A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates

A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

ARCS: Accurate Rotation and Correspondence Search

You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example

Stress-Testing Point Cloud Registration on Automotive LiDAR


A fortran package for analysis and diagnostics on NEMO ocean model output.

Climate and marine biogeochemistry during the Holocene from transient model simulations

The Impact of Tides on the Bay of Biscay Dynamics

Journal of Marine Science and Engineering

On constraining the mesoscale eddy energy dissipation time-scale

Ensemble quantification of short-term predictability of the ocean dynamics at kilometric-scale resolution: A Western Mediterranean test-case

Robust estimates for the decadal evolution of Agulhas leakage from the 1960s to the 2010s


Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

BETYdb: a yield, trait, and ecosystem service database applied to second-generation bioenergy feedstock production


Web Application Security Scanner Framework

Securing Web Applications through a Framework of Source Code Analysis

Semantic Similarity-Based Clustering of Findings From Security Testing Tools

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


PyTorch deep learning models for text processing

Regularizing and Optimizing LSTM Language Models

Integrating Question Classification and Deep Learning for improved Answer Selection

International Conference on Computational Linguistics

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams

CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities

North American Chapter of the Association for Computational Linguistics


Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China

A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons

Modeling COVID-19 scenarios for the United States

Forecasting: theory and practice

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

The depressive state of Denmark during the COVID-19 pandemic

Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters

Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities

Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States


Python and C library for source extraction and photometry

Strong dependence of Type Ia supernova standardization on the local specific star formation rate

The Lyman Continuum Escape Survey: Ionizing Radiation from [O iii]-strong Sources at a Redshift of 3.1

Fully automated integral field spectrograph pipeline for the SEDMachine: pysedm

scarlet: Source separation in multi-band images by Constrained Matrix Factorization

An Extreme Starburst in Close Proximity to the Central Galaxy of a Rich
  Galaxy Cluster at z=1.7

Using Surface Brightness Fluctuations to Study Nearby Satellite Galaxy Systems: Calibration and Methodology

Using Surface Brightness Fluctuations to Study nearby Satellite Galaxy Systems: The Complete Satellite System of M101

Testing the Presence of Multiple Photometric Components in Nearby Early-type Galaxies Using SDSS

Machine learning on difference image analysis: A comparison of methods for transient detection

Accuracy of environmental tracers and consequence for determining the Type Ia Supernovae magnitude step


Multi-level network clustering based on the Map Equation

Self-Supervised Learning of Object Parts for Semantic Segmentation

Whole-genome microsynteny-based phylogeny of angiosperms

Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes

Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network

Map equation centrality: community-aware centrality based on the map equation

Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

New Cross-Talks between Pathways Involved in Grapevine Infection with ‘Candidatus Phytoplasma solani’ Revealed by Temporal Network Modelling


Sentiment Analysis, Text Classification, Text Augmentation,  Text Adversarial defense, etc.;

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

Improving Implicit Sentiment Learning via Local Sentiment Aggregation

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction

Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases

UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model

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


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