Static Type Checker for Python

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

CodePlan: Repository-level Coding using LLMs and Planning

Static inference meets deep learning

Generative Type Inference for Python

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

Gradual Soundness: Lessons from Static Python

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis

Data Leakage in Notebooks: Static Detection and Better Processes

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming


Succinct Data Structure Library

Large-Scale Pattern Search Using Reduced-Space On-Disk Suffix Arrays

(EFM)-F-2: an encrypted and compressed full-text index for collections of genomic sequences


Simple GUI frontend for CMTK image registration tools in Fiji/ImageJ

A neural mechanism for deprivation state-specific expression of relevant memories in Drosophila

Layered roles of fruitless isoforms in specification and function of male aggression-promoting neurons in Drosophila

Sex-determining genes distinctly regulate courtship capability and target preference via sexually dimorphic neurons

Combinatorial circuit dynamics orchestrate flexible motor patterns inDrosophila

Male cuticular pheromones stimulate removal of the mating plug and promote re-mating through pC1 neurons in Drosophila females

Olfactory sensory neuron population expansions influence projection neuron adaptation and enhance odour tracking


The Platinum Genomes Truthset

De novo assembly of haplotype-resolved genomes with trio binning

Best Practices for Benchmarking Germline Small Variant Calls in Human Genomes

Lossy Compressor Preserving Variant Calling through Extended BWT

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies

Thousands of human mutation clusters are explained by short-range template switching


Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Meeting of the Association for Computational Linguistics

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding

Focus Attention: Promoting Faithfulness and Diversity in Summarization

RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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


Counter-fitting Word Vectors to Linguistic Constraints

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

International Conference on Computational Linguistics

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

Conference of the European Chapter of the Association for Computational Linguistics

Evaluation of taxonomic and neural embedding methods for calculating semantic similarity


R package for analysing proteomics data

Proteus: an R package for downstream analysis of MaxQuant output

A Novel Enrichment Culture Highlights Core Features of Microbial Networks Contributing to Autotrophic Fe(II) Oxidation Coupled to Nitrate Reduction

Girding the loins? Direct evidence of the use of a medieval English parchment birthing girdle from biomolecular analysis

Surfactin Shows Relatively Low Antimicrobial Activity against Bacillus subtilis and Other Bacterial Model Organisms in the Absence of Synergistic Metabolites

LFQ-Based Peptide and Protein Intensity Differential Expression Analysis

Girding the loins? Direct evidence of the use of a medieval parchment birthing girdle from biomolecular analysis

Deep proteome profiling reveals signatures of age and sex differences in paw skin and sciatic nerve of naïve mice


Convergent Cross Mapping in Scikit Learn's style

Path Signature Area-Based Causal Discovery in Coupled Time Series

Delay Embedding Theory of Neural Sequence Models


Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Retrieval Augmented Zero-Shot Text Classification

PROCEEDINGS OF THE 2024 ACM SIGIR INTERNATIONAL CONFERENCE ON THE THEORY OF INFORMATION RETRIEVAL, ICTIR 2024


Toolkit to Hack Your Deep Learning Models

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

International Journal of Computer Vision

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time


Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits

A transcriptomic atlas of the human brain reveals genetically determined aspects of neuropsychiatric health

medRxiv : the preprint server for health sciences


GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers


Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.

Overcoming Data Limitation in Medical Visual Question Answering

Medical Visual Question Answering via Conditional Reasoning

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

Findings of the Association for Computational Linguistics: EACL 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Multimodal Prompt Retrieval for Generative Visual Question Answering

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models

The Clever Hans Effect in Unsupervised Learning


Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

Controllable Dialogue Simulation with In-Context Learning

MVP: Multi-task Supervised Pre-training for Natural Language Generation


The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

A 3D Generative Model for Structure-Based Drug Design

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models

Benchmarking structure-based three-dimensional molecular generative
  models using GenBench3D: ligand conformation quality matters


Warcraft II World Map Editor

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models

Modified Gauss-Newton Algorithms under Noise


PyTorch implementation of Barlow Twins.

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Representational Continuity for Unsupervised Continual Learning

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation

A Study of the Generalizability of Self-Supervised Representations

Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Blockwise Self-Supervised Learning at Scale

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Visualizing and Understanding Contrastive Learning


QTL Discovery using Annotations

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


Recommendation algorithms for large graphs

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation

pygrank: A Python Package for Graph Node Ranking

Unsupervised evaluation of multiple node ranks by reconstructing local structures


Convert SNPs in VCF format to PHYLIP, NEXUS, binary NEXUS, or FASTA alignments for phylogenetic analysis

Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum

Estimating uncertainty in divergence times among three-spined stickleback clades using the multispecies coalescent

Genomic evidence of contemporary hybridization between Schistosoma species

Between a Rock and a Hard Polytomy: Phylogenomics of the Rock-Dwelling Mbuna Cichlids of Lake Malaŵi

Genome Size Variation and Evolution Driven by Transposable Elements in the Genus Oryza

Utilizing museomics to trace the complex history and species boundaries in an avian-study system of conservation concern

Phylogenomic Analyses Show Repeated Evolution of Hypertrophied Lips Among Lake Malawi Cichlid Fishes

The evolutionary patterns of barley pericentromeric chromosome regions, as shaped by linkage disequilibrium and domestication

Zenodo (CERN European Organization for Nuclear Research)

Comparative Genomics Analysis Demonstrated a Link Between Staphylococci Isolated From Different Sources: A Possible Public Health Risk

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis


Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.

Alterations of frontal-temporal gray matter volume associate with clinical measures of older adults with COVID-19


Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Mumford–Shah Loss Functional for Image Segmentation With Deep Learning

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

Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation

S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency


redlistr: Tools for the IUCN Red List of Ecosystems and Species


Predict Gender from Names Using Historical Data

The Pandemic Penalty: The gendered effects of COVID-19 on scientific productivity

Socius: Sociological Research for a Dynamic World

The Effect of Gender in the Publication Patterns in Mathematics

Uncovering Latent Biases in Text: Method and Application to Peer Review

What’s Under the Big Tent?: A Study of ADHO Conference Abstracts

Gender representation and academic achievement among STEM‐interested students in college STEM courses

Addressing the Gender Gap: Using Quantitative and Qualitative Methods to Illuminate Women’s Fisheries Participation

Authors and editors assort on gender and geography in high-rank ecological publications

Fleshing Out Models of Gender in English-Language Novels (1850 – 2000)

ChatGPT Is More Likely to Be Perceived as Male Than Female

COVID-19 and Gender Differences in Family Medicine Scholarship


Comparing causality methods in a fair and just way.

Evaluation Methods and Measures for Causal Learning Algorithms

Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty

Data-Driven Estimation of Heterogeneous Treatment Effects


Access data, statistics, and visualizations for New York's electricity grid.


Repository for the SCALE-MAMBA MPC system

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers

Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities

DLT Based Authentication Framework for Industrial IoT Devices

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Private Hospital Workflow Optimization via Secure k-Means Clustering

Data Querying and Access Control for Secure Multiparty Computation

Foundations of Programmable Secure Computation

STAR: Statistical Tests with Auditable Results

Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain


Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

Computer Methods in Applied Mechanics and Engineering

Learning physics-based reduced-order models for a single-injector combustion process

Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference

Transform & Learn: A data-driven approach to nonlinear model reduction


A Massively Parallel FFT Library for CPU/GPU

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures

CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics

Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications


Connectome Workbench

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Neurite imaging reveals microstructural variations in human cerebral cortical gray matter

Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks

Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience

Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Development of visual cortex in human neonates is selectively modified by postnatal experience

Mapping the Macrostructure and Microstructure of the in vivo Human Hippocampus using Diffusion MRI

The Interaction of Glycemia with Anxiety and Depression Is Related to Altered Cerebellar and Cerebral Functional Correlations

Cacao Polyphenol-Rich Dark Chocolate Intake Contributes to Efficient Brain Activity during Cognitive Tasks: A Randomized, Single-Blinded, Crossover, and Dose-Comparison fMRI Study


Creative Commons Attribution 4.0 International

Controlled Vocabularies (CVs) for use in CMIP6

Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model

Journal of Advances in Modeling Earth Systems

Requirements for a global data infrastructure in support of CMIP6

The CMIP6 Data Request (DREQ, version 01.00.31)

Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations with AWI-CM1.0

The CMIP6 Data Request (version 01.00.31)

Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings

A Barotropic Solver for High-Resolution Ocean General Circulation Models

Journal of Marine Science and Engineering

Impact of Hydroclimate Change on the Management for the Multipurpose Reservoir: A Case Study in Meishan (China)


Python library for CMA Evolution Strategy.

Warm Starting CMA-ES for Hyperparameter Optimization

CMA-ES with margin

Proceedings of the Genetic and Evolutionary Computation Conference

Rethinking Optimization with Differentiable Simulation from a Global Perspective

cmaes : A Simple yet Practical Python Library for CMA-ES

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?

An Optimization-based Baseline for Rigid 2D/3D Registration Applied to
  Spine Surgical Navigation Using CMA-ES

Quantum computer based feature selection in machine learning

Variational Quantum Multi-Objective Optimization


Trained caffe models

Protein-Ligand Scoring with Convolutional Neural Networks

Journal of chemical information and modeling

3D Convolutional Neural Networks and a CrossDocked Dataset for Structure-Based Drug Design

Visualizing Convolutional Neural Network Protein-Ligand Scoring

Journal of molecular graphics & modelling

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications

An Equivariant Generative Framework for Molecular Graph-Structure Co-Design

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space


The Coq Effective Algebra Library [maintainers=@CohenCyril,@proux01]

QWIRE Practice: Formal Verification of Quantum Circuits in Coq

Refinements for Free!

A Refinement-Based Approach to Computational Algebra in Coq

Formalized linear algebra over Elementary Divisor Rings in Coq

Symbolic Reasoning About Quantum Circuits in Coq

A Coq Formalization of Finitely Presented Modules


Metadata, scripts and baselines for the MTG-Jamendo dataset

Evaluation of CNN-based Automatic Music Tagging Models

Learning music audio representations via weak language supervision

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Music theme recognition using CNN and self-attention

A Survey of Foundation Models for Music Understanding

Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging


Omnivore: A Single Model for Many Visual Modalities

OmniMAE: Single Model Masked Pretraining on Images and Videos

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


AQUAS TF and histone ChIP-seq pipeline

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

Super-Enhancer-Associated LncRNA UCA1 Interacts Directly with AMOT to Activate YAP Target Genes in Epithelial Ovarian Cancer

Denoising genome-wide histone ChIP-seq with convolutional neural networks

Non-coding somatic mutations converge on the PAX8 pathway in ovarian cancer

Modulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors.

Anopheles mosquitoes reveal new principles of 3D genome organization in insects

KLF4 Recruits SWI/SNF to Increase Chromatin Accessibility and Reprogram the Endothelial Enhancer Landscape under Laminar Shear Stress

Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements

Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

PDGFRA defines the mesenchymal stem cell Kaposi's sarcoma progenitors by enabling KSHV oncogenesis in an angiogenic environment


FewCLUE 小样本学习测评基准，中文版

FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark

What Makes Pre-trained Language Models Better Zero-shot Learners?

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph


:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

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

Survey of Explainable AI Techniques in Healthcare

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine


Python wrapper for the IBM RXN for Chemistry API

ChemCrow: Augmenting large-language models with chemistry tools

Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2

Machine Learning: Science and Technology

Trends in Deep Learning for Property-driven Drug Design

Language models in molecular discovery

Targeted design of antiviral compounds against SARS-CoV-2 with conditional generative models

Developing BioNavi for Hybrid Retrosynthesis Planning


Python package for easy access to weather and climate data

Emerging AI-based weather prediction models as downscaling tools


A language for symbolic transitions system, inspired by Ivy.

Ivy: A Multi-modal Verification Tool for Distributed Algorithms

On Symmetry and Quantification: A New Approach to Verify Distributed Protocols

Inferring Inductive Invariants from Phase Structures

Towards an Automatic Proof of Lamport's Paxos

Inferring Invariants with Quantifier Alternations: Taming the Search Space Explosion

Plain and Simple Inductive Invariant Inference for Distributed Protocols in TLA+


Development of homotopy type theory in Agda

The HoTT Library: A formalization of homotopy type theory in Coq

On the homotopy groups of spheres in homotopy type theory

The univalence axiom for elegant Reedy presheaves

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Internalizing Representation Independence with Univalence

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy Theory

Cellular Cohomology in Homotopy Type Theory

Higher Homotopies in a Hierarchy of Univalent Universes

Fibred fibration categories


Mutation Identification Pipeline. Read the latest documentation:

Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients

From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

Intra-mitochondrial Methylation Deficiency Due to Mutations in SLC25A26

Rapid pulsed whole genome sequencing for comprehensive acute diagnostics of inborn errors of metabolism

Rare variants in the outcome of social skills group training for autism

Novel Cysteine-Sparing Hypomorphic NOTCH3 A1604T Mutation Observed in a Family With Migraine and White Matter Lesions

Massive parallel sequencing in individuals with multiple primary tumours reveals the benefit of re-analysis

Novel Synonymous and Deep Intronic Variants Causing Primary and Secondary Pyruvate Dehydrogenase Complex Deficiency


Python code related to DM calculations, estimations, and analysis

A census of baryons in the Universe from localized fast radio bursts

The low density and magnetization of a massive galaxy halo exposed by a fast radio burst

Probing Galactic Halos with Fast Radio Bursts

Monthly Notices of the Royal Astronomical Society

Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors

The Host Galaxies and Progenitors of Fast Radio Bursts Localized with the Australian Square Kilometre Array Pathfinder

URSI General Assembly and Scientific Symposium

Characterizing the Fast Radio Burst Host Galaxy Population and its Connection to Transients in the Local and Extragalactic Universe

High time resolution and polarization properties of ASKAP-localized fast radio bursts

A Distant Fast Radio Burst Associated with Its Host Galaxy by the Very Large Array

A High-resolution View of Fast Radio Burst Host Environments

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope


Python library for Reinforcement Learning.

MushroomRL: Simplifying Reinforcement Learning Research

Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts

Boosting Object Representation Learning via Motion and Object Continuity

Continuous-Time Fitted Value Iteration for Robust Policies

Efficient Reinforcement Learning Development with RLzoo

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient


An adaptive mesh, N-body hydro cosmological simulation code

Simulating mixed fuzzy and cold dark matter

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Measurement of the small-scale structure of the intergalactic medium using close quasar pairs

Simulating intergalactic gas for DESI-like small scale Lymanαforest observations

Journal of Cosmology and Astroparticle Physics

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Measurement and analysis of GPU-accelerated applications with HPCToolkit

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5

Kinetic and internal energy transfer in forced compressible turbulence

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations

IEEE Transactions on Parallel and Distributed Systems


This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

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

Multiplex Heterogeneous Graph Convolutional Network

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

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

MHNF: Multi-Hop Heterogeneous Neighborhood Information Fusion Graph Representation Learning

Automated Graph Machine Learning: Approaches, Libraries and Directions

Characterizing and Understanding HGNNs on GPUs

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks

Graph Mining for Cybersecurity: A Survey

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks


molSimplify code

Strategies and Software for Machine Learning Accelerated Discovery in Transition Metal Chemistry

Industrial & Engineering Chemistry Research

Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models

Journal of chemical theory and computation

New Strategies for Direct Methane-to-Methanol Conversion from Active Learning Exploration of 16 Million Catalysts

Large-scale comparison of 3d and 4d transition metal complexes illuminates the reduced effect of exchange on second-row spin-state energetics

Physical chemistry chemical physics : PCCP

Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery

Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis

Exploiting Ligand Additivity for Transferable Machine Learning of Multireference Character Across Known Transition Metal Complex Ligands

Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning

Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy


A fresh approach to string manipulation in R

Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data

RevEcoR: an R package for the reverse ecology analysis of microbiomes

Genome streamlining in a minute herbivore that manipulates its host plant

Systematic Bioinformatic Analyses of Nutrigenomic Modifications by Polyphenols Associated with Cardiometabolic Health in Humans—Evidence from Targeted Nutrigenomic Studies

Inhibition of Soluble Epoxide Hydrolase Is Protective against the Multiomic Effects of a High Glycemic Diet on Brain Microvascular Inflammation and Cognitive Dysfunction

Spatially Enriched Paralog Rearrangements Argue Functionally Diverse Ribosomes Arise during Cold Acclimation in Arabidopsis

International journal of molecular sciences

Metagenomic Detection of Divergent Insect- and Bat-Associated Viruses in Plasma from Two African Individuals Enrolled in Blood-Borne Surveillance

Measuring inferential importance of taxa using taxon influence indices

Locomotion behavior of dairy cows on traditional summer mountain farms in comparison with modern cubicle housing without access to pasture

Heredabilidad y tendencias genéticas para caracteres del crecimiento en bovinos criollos


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


The Image Registration Toolkit

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Brain Extraction Using Label Propagation and Group Agreement: Pincram

Patterns of grey matter loss associated with motor subscores in early Parkinson's disease

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data

FetalGAN: Automated Segmentation of Fetal Functional Brain MRI Using Deep Generative Adversarial Learning and Multi-Scale 3D U-Net


Automatically exported from code.google.com/p/prottest3

A neurotransmitter produced by gut bacteria modulates host sensory behaviour

Spliceosomal Prp8 intein at the crossroads of protein and RNA splicing

Photoreceptor Diversification Accompanies the Evolution of Anthozoa

Acquisition of a Novel Sulfur-Oxidizing Symbiont in the Gutless Marine Worm Inanidrilus exumae

Caspases from scleractinian coral show unique regulatory features

RNA-Seq de novo assembly and differential transcriptome analysis of the nematode Ascaridia galli in relation to in vivo exposure to flubendazole

From head to rootlet: comparative transcriptomic analysis of a rhizocephalan barnacle Peltogaster reticulata (Crustacea: Rhizocephala)

Exploring New Routes for Genetic Resistances to Potyviruses: The Case of the Arabidopsis thaliana Phosphoglycerates Kinases (PGK) Metabolic Enzymes

A Horizontally Transferred Plant Fatty Acid Desaturase Gene Steers Whitefly Reproduction

Morphological and molecular evolution of hadal amphipod’s eggs provides insights into embryogenesis under high hydrostatic pressure

Frontiers in cell and developmental biology


MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Task-adaptive Neural Process for User Cold-Start Recommendation

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

ColdNAS: Search to Modulate for User Cold-Start Recommendation

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

Cross-Domain Meta-Learner for Cold-Start Recommendation

IEEE Transactions on Knowledge and Data Engineering

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation


Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

Neural Discrete Representation Learning

Taming Transformers for High-Resolution Image Synthesis

Taming Visually Guided Sound Generation


PokéMon like game on iOS with Location Based Service.

ENORM: A Framework For Edge NOde Resource Management

Feasibility of Fog Computing

DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments

Edge-as-a-Service: Towards Distributed Cloud Architectures

Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning


Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

Learning from Protein Structure with Geometric Vector Perceptrons

ATOM3D: Tasks On Molecules in Three Dimensions

Equivariant Graph Neural Networks for 3D Macromolecular Structure

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer


Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

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


Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

State of the Art of Quality Assessment of Facial Images

Double Trouble? Impact and Detection of Duplicates in Face Image Datasets


A PyTorch implementation of L-BFGS.

SAMBA: Safe Model-Based & Active Reinforcement Learning

When are Iterative Gaussian Processes Reliably Accurate?

Statistically equivalent surrogate material models: Impact of random imperfections on the elasto-plastic response

Deep kernel learning for integral measurements

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP

An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training

Iterative reconstruction of the electron density and effective atomic number using a non-linear forward model

Maximum Likelihood Based Phase-Retrieval Using Fresnel Propagation Forward Models With Optional Constraints


Code for our paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization", ACL 2021

Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization


Simple implementation of OpenAI CLIP model in PyTorch.

Learning Transferable Visual Models From Natural Language Supervision

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language

ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios

Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes

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


Efficient PyTorch Hessian eigendecomposition tools!

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

An Empirical Investigation of the Role of Pre-training in Lifelong Learning

Improving Generalization in Federated Learning by Seeking Flat Minima

Accelerated Stochastic Power Iteration

The Generalization-Stability Tradeoff In Neural Network Pruning

Directional Pruning of Deep Neural Networks

Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima

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

Irreducible Curriculum for Language Model Pretraining


Learning a Unified Classifier Incrementally via Rebalancing

CL2R: Compatible Lifelong Learning Representations

ACM Transactions on Multimedia Computing, Communications, and Applications

Online Continual Learning via Logit Adjusted Softmax


Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

From statistical methods to deep learning, automatic keyphrase prediction: A survey

Diverse Keyphrase Generation with Neural Unlikelihood Training

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference


analyze text with empath

Analyzing Right-wing YouTube Channels: Hate, Violence and Discrimination

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Fake news as we feel it: perception and conceptualization of the term "fake news" in the media

Beauty, the feeling

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages

Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach

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

Team Oulu at SemEval-2020 Task 12: Multilingual Identification of Offensive Language, Type and Target of Twitter Post Using Translated Datasets

International Workshop on Semantic Evaluation

Characterizing the public perception of WhatsApp through the lens of media

Optimizing Language Models for Human Preferences is a Causal Inference
  Problem

Characterising Authors on the Extent of their Paper Acceptance: A Case Study of the Journal of High Energy Physics

ACM/IEEE Joint Conference on Digital Libraries


Salesforce open-source LLMs with 8k sequence length.

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

XGen-7B Technical Report

Contextual Confidence and Generative AI


Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

Dynamically Fused Graph Network for Multi-hop Reasoning

Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?

Is Graph Structure Necessary for Multi-hop Reasoning?


Annocript is a pipeline for the annotation of de-novo generated  transcriptomes. It executes BLAST analysis with UniProt, NCBI Conserved Domain Database and Nucleotide divisions, Gene Ontology, UniPathways and the Enzyme Commission. It gives information about the longest ORF (using DNA2PEP) and non-coding potential of the sequences (using Portrait). A final heuristic makes Annocript able to identify putative long non-coding RNAs among your transcripts. Like our facebook page to be always updated: https://www.facebook.com/annocript

Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs

Exploring Molecular Signs of Sex in the Marine Diatom Skeletonema marinoi

mRNA Expression and Biomarker Responses in Perch at a Biomonitoring Site in the Baltic Sea – Possible Influence of Natural Brominated Chemicals


[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning

Multimodal Transformer for Unaligned Multimodal Language Sequences

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Multi-attention Recurrent Network for Human Communication Comprehension

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining


Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

XLM-T: A Multilingual Language Model Toolkit for Twitter.

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification

Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models

Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"

Optical Flow Estimation using a Spatial Pyramid Network

HarDNet: A Low Memory Traffic Network

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Improving Real-Time Hand Gesture Recognition with Semantic Segmentation

Empowering cyberphysical systems of systems with intelligence


今日头条中文新闻（文本）分类数据集

CLUE: A Chinese Language Understanding Evaluation Benchmark

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Towards artificial general intelligence via a multimodal foundation model

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph

A Text classification algorithm based on topic model and convolutional neural network

Does Chinese BERT Encode Word Structure?

Label Oriented Hierarchical Attention Neural Network for Short Text Classification

Academic Journal of Engineering and Technology Science


Do What The F*ck You Want To Public License

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

On Provable Copyright Protection for Generative Models

Blurring Diffusion Models

A Unified Framework for U-Net Design and Analysis

Training Data Attribution for Diffusion Models


An OpenFOAM solver  for Boltzmann model equation using discrete unified gas kinetic scheme

Discrete unified gas kinetic scheme for all Knudsen number flows: Low-speed isothermal case

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

Discrete unified gas kinetic scheme for all Knudsen number flows. II. Thermal compressible case

Radiometric flow in periodically patterned channels: fluid physics and improved configurations

A unified implicit scheme for kinetic model equations. Part I. Memory reduction technique

Numerical study of nonequilibrium gas flow in a microchannel with a ratchet surface


An open-source deep learning platform for annotation-efficient medical image computing

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

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

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy


Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

HUI-Audio-Corpus-German: A high quality TTS dataset

ASR in German: A Detailed Error Analysis

Thorsten - Open German Voice (Neutral) Dataset

ASR Bundestag: A Large-Scale political debate dataset in German


EMPEROR Exoplanet Mcmc Parallel tEmpering Radial velOcity fitteR

An ultrahot Neptune in the Neptune desert

The Pan-Pacific Planet Search. VII. The Most Eccentric Planet Orbiting a Giant Star

Truly eccentric - I. Revisiting eight single-eccentric planetary systems

Monthly notices of the Royal Astronomical Society

NGTS-6b: an ultrashort period hot-Jupiter orbiting an old K dwarf

Monthly Notices of the Royal Astronomical Society

GJ 357: a low-mass planetary system uncovered by precision radial velocities and dynamical simulations

Re-analyzing the Dynamical Stability of the HD 47366 Planetary System

Stability analysis of three exoplanet systems


Demultiplexes a fastq.

3D landscape of Hepatitis B virus interactions with human chromatins

Genetic structure of the European hedgehog (Erinaceus europaeus) in Denmark

Zenodo (CERN European Organization for Nuclear Research)

Applying the GBS technique for the genomic characterization of a Danish population of European hedgehogs (Erinaceus europaeus)

Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations


Get Deinked!!

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

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Enhanced Deep Residual Networks for Single Image Super-Resolution

Self-Attention Generative Adversarial Networks


A PyTorch implementation of EfficientNet

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism


Adyton: A Network Simulator for Opportunistic Networks

Simulating Opportunistic Networks: Survey and Future Directions

IEEE Communications Surveys and Tutorials

Proliferation of Opportunistic Routing: A Systematic Review

Opportunistic Networking Protocol Simulator for OMNeT++

TRAILS mobility model

SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL


[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Low-bit Quantization of Neural Networks for Efficient Inference

FQ-ViT: Fully Quantized Vision Transformer without Retraining


Signal based nanopore RNA demultiplexing with convolutional neural networks

Molecular barcoding of native RNAs using nanopore sequencing and deep learning

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Barcoding and demultiplexing Oxford Nanopore native RNA sequencing reads with deep residual learning


Inference of couplings in proteins and RNAs from sequence variation

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

3D RNA and functional interactions from evolutionary couplings

Antiparallel protocadherin homodimers use distinct affinity- and specificity-mediating regions in cadherin repeats 1-4

Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling

Molecular evolution of HIV-1 integrase during the 20 years prior to the first approval of integrase inhibitors


A finite-state morphological analyzer for Turkish

A set of open source tools for Turkish natural language processing

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

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

An Open, Extendible, and Fast Turkish Morphological Analyzer

Recent Advances in Natural Language Processing


R data package for annotating/converting Gene IDs

Transcriptional signature in microglia associated with Aβ plaque phagocytosis

Genetic Subgroups Inform on Pathobiology in Adult and Pediatric Burkitt Lymphoma


Data-driven Network-based Bayesian Inference of Drivers

Large-scale genomic study reveals robust activation of the immune system following advanced Inner Engineering meditation retreat

Akt Inhibition Is Associated With Favorable Immune Profile Changes Within the Tumor Microenvironment of Hormone Receptor Positive, HER2 Negative Breast Cancer

Genome-wide methylation analysis reveals differentially methylated CpG sites and altered expression of heart development-associated genes in fetuses with cardiac defects

Transcriptional Networks Identify BRPF1 as a Potential Drug Target Based on Inflammatory Signature in Primary Lower-Grade Gliomas

Combination of Ribociclib and Gemcitabine for the Treatment of Medulloblastoma


An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

Demixed principal component analysis of neural population data

Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis

Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE

Recurrent circuitry is required to stabilize piriform cortex odor representations across brain states

Thalamus-driven functional populations in frontal cortex support decision-making

Mechanisms that allow cortical preparatory activity without inappropriate movement

State-dependent geometry of population activity in rat auditory cortex

Neuronal Representation of Locomotion During Motivated Behavior in the Mouse Anterior Cingulate Cortex

Multiple tasks viewed from the neural manifold: Stable control of varied behavior

An output-null signature of inertial load in motor cortex

bioRxiv : the preprint server for biology


Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Demystifying the Transferability of Adversarial Attacks in Computer Networks

Benchmarking Trustworthiness of Multimodal Large Language Models: A
  Comprehensive Study

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter

Learning Strategies for Sensitive Content Detection

Moderating Illicit Online Image Promotion for Unsafe User-Generated
  Content Games Using Large Vision-Language Models

Zero-shot Visual Commonsense Immorality Prediction

Safety Alignment for Vision Language Models


Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

MileBench: Benchmarking MLLMs in Long Context

GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Video Question Answering Using CLIP-Guided Visual-Text Attention


Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

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

Text Summarization with Pretrained Encoders

Fine-tune BERT for Extractive Summarization

Extractive Summarization as Text Matching

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

Keyphrase Extraction from Scientific Articles via Extractive Summarization

Proceedings of the Second Workshop on Scholarly Document Processing

IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation


Repository for NeurIPS 2020 Spotlight  "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Black Box Lie Group Preconditioners for SGD

AdamL: A fast adaptive gradient method incorporating loss function

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners


Data, tools, and documentation of the Fusion 360 Gallery Dataset

BRepNet: A topological message passing system for solid models

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Geometric Deep Learning for Computer-Aided Design: A Survey


COMmon Bayesian Optimization

Bayesian optimization of chemical composition: a comprehensive framework
  and its application to RFe_12-type magnet compounds

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science

Machine learning in materials modeling—fundamentals and the opportunities in 2D materials

Fourier Representations for Black-Box Optimization over Categorical Variables

First-principles investigation of Nd(Fe,M)12 (M = K--Br) and Nd(Fe,Cr,Co,Ni,Ge,As)12: Possible enhancers of Curie temperature for NdFe12 magnetic compounds


Generic decoding of seen and imagined objects using hierarchical visual features

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Convolutional Neural Networks for Facial Expression Recognition

Interpretation of Prediction Models Using the Input Gradient

Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features

Biases in Generative Art -- A Causal Look from the Lens of Art History

Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity

Using Artificial Intelligence Techniques to Emulate the Creativity of a Portrait Painter

Localized convolutional neural networks for geospatial wind forecasting

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs


This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.

Guarding Serverless Applications with SecLambda

The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry.

Towards Persistent Memory based Stateful Serverless Computing for Big Data Applications


[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Towards Generalizable Tumor Synthesis

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking


Combining tree-boosting with Gaussian process and mixed effects models

Gaussian Process Boosting

Latent Gaussian Model Boosting

Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning

Comparison of new computational methods for geostatistical modelling of malaria

Iterative Methods for Full-Scale Gaussian Process Approximations for
  Large Spatial Data

Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models


R package for downloading weather data from Environment and Climate Change Canada

weathercan: Download and format weather data from Environment and Climate Change Canada

Does tall vegetation warm or cool the ground surface? Constraining the ground thermal impacts of upright vegetation in northern environments


PySM: Software for simulating the Galactic microwave sky

CMB-S4 Science Case, Reference Design, and Project Plan

CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

The Python Sky Model: software for simulating the Galactic microwave sky

The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Journal of Cosmology and Astroparticle Physics

A Projected Estimate of the Reionization Optical Depth Using the CLASS Experiment’s Sample Variance Limited E-mode Measurement

Internal Delensing of Cosmic Microwave Background Polarization B-Modes with the POLARBEAR Experiment.

Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes

Foreground model recognition through Neural Networks for CMB B-mode observations

Requirements for future CMB satellite missions: photometric and band-pass response calibration

Removal of Galactic foregrounds for the Simons Observatory primordial gravitational wave search


Build Graph Nets in Tensorflow

Relational inductive biases, deep learning, and graph networks

Learning to Simulate Complex Physics with Graph Networks

Graph neural network for traffic forecasting: A survey

A Survey of Deep Learning for Scientific Discovery

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Graph Neural Networks: Methods, Applications, and Opportunities

Graph Neural Networks for Particle Tracking and Reconstruction

Learning to Manipulate Object Collections Using Grounded State Representations

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators


Original Implementation of Prompt Tuning from Lester, et al, 2021

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

The Power of Scale for Parameter-Efficient Prompt Tuning

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Two-stage LLM Fine-tuning with Less Specialization and More Generalization


Data package: renewable power plants


An R package for the extraction of sentiment and sentiment-based plot arcs from text

An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics

Public Sentiment Analysis on Twitter Data during COVID-19 Outbreak

International Journal of Advanced Computer Science and Applications

Cultural heritage through the lens of COVID-19

How are major gambling brands using Twitter?

Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

Emotional Sentence Annotation Helps Predict Fiction Genre

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication

Teacher Training for Educational Change: The View of International Experts


SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.

No Language Left Behind: Scaling Human-Centered Machine Translation

Seamless: Multilingual Expressive and Streaming Speech Translation

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

SONAR: Sentence-Level Multimodal and Language-Agnostic Representations


Deep learning-based outlier/anomaly detection

Deep Semi-Supervised Anomaly Detection

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Deep Anomaly Detection with Deviation Networks

Classification-Based Anomaly Detection for General Data

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Deep Isolation Forest for Anomaly Detection

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

IEEE transactions on neural networks and learning systems

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Deep Weakly-supervised Anomaly Detection


Social Watcher on Facebook Marketing API

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations

Studying Migrant Assimilation Through Facebook Interests

Online Surveys and Digital Demography in the Developing World: Facebook Users in Kenya

Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon


Fast and customizable text tokenization library with BPE and SentencePiece support

Boosting Neural Machine Translation with Similar Translations

An Overview on Language Models: Recent Developments and Outlook

Integrating Domain Terminology into Neural Machine Translation

International Conference on Computational Linguistics

Incorporating External Annotation to improve Named Entity Translation in NMT

European Association for Machine Translation Conferences/Workshops

Priming Neural Machine Translation

HAL (Le Centre pour la Communication Scientifique Directe)

LIMSI @ WMT 2020

Empirical Methods in Natural Language Processing

The Ubiqus English-Inuktitut System for WMT20

Example-Based Machine Translation from Text to a Hierarchical Representation of Sign Language

Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline

SYSTRAN @ WMT 2021: Terminology Task


homebrew (macOS) packages for RISC-V toolchain


Astronomical Interferometry in PYthon (AIPY)

Hydrogen Epoch of Reionization Array (HERA)

Publications of the Astronomical Society of the Pacific

NEW LIMITS ON 21 cm EPOCH OF REIONIZATION FROM PAPER-32 CONSISTENT WITH AN X-RAY HEATED INTERGALACTIC MEDIUM AT z = 7.7

Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

CONSTRAINING POLARIZED FOREGROUNDS FOR EoR EXPERIMENTS. I. 2D POWER SPECTRA FROM THE PAPER-32 IMAGING ARRAY

DAYENU: a simple filter of smooth foregrounds for intensity mapping power spectra

Monthly notices of the Royal Astronomical Society

Bayesian model selection with future 21cm observations of the epoch of reionization

Data processing pipeline for Tianlai experiment

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

Publications of the Astronomical Society of Australia


Bitextor generates translation memories from multilingual websites

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Meeting of the Association for Computational Linguistics

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

ParaCrawl: Web-scale parallel corpora for the languages of the EU

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

NTT Neural Machine Translation Systems at WAT 2019

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning

JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus

Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training

Unsupervised Parallel Corpus Mining on Web Data

Bicleaner AI: Bicleaner Goes Neural

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Core modules used by the GMS

Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia

Cellular stressors contribute to the expansion of hematopoietic clones of varying leukemic potential

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

ViromeScan: a new tool for metagenomic viral community profiling

Fermented-Food Metagenomics Reveals Substrate-Associated Differences in Taxonomy and Health-Associated and Antibiotic Resistance Determinants

Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality

Distinct actions of the fermented beverage kefir on host behaviour, immunity and microbiome gut-brain modules in the mouse

Antimicrobial use and production system shape the fecal, environmental, and slurry resistomes of pig farms

HumanMycobiomeScan: a new bioinformatics tool for the characterization of the fungal fraction in metagenomic samples

Resistance-promoting effects of ependymoma treatment revealed through genomic analysis of multiple recurrences in a single patient


RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.

Automated test generation for REST APIs: no time to rest yet

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Testing RESTful APIs: A Survey

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

REST API Fuzzing by Coverage Level Guided Blackbox Testing

AUTOMATIC DETECTION OF ACCESS CONTROL VULNERABILITIES VIA API SPECIFICATION PROCESSING


DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Fourier Neural Operator for Parametric Partial Differential Equations

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Neural Operator: Graph Kernel Network for Partial Differential Equations

Learning Dissipative Dynamics in Chaotic Systems


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

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

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

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

DEMASQ: Unmasking the ChatGPT Wordsmith


Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

Membership Inference Attacks against Machine Learning Models

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Revisiting Membership Inference Under Realistic Assumptions

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

On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models


ggplot2 Extension to Visualize Two Variables Per Color Aesthetic through Color Space Projection

Cannabis- and Substance-Related Carcinogenesis in Europe: A Lagged Causal Inferential Panel Regression Study

European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study

International journal of environmental research and public health

Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Patterns of Cannabis- and Substance-Related Congenital General Anomalies in Europe: A Geospatiotemporal and Causal Inferential Study

Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study

Geospatiotemporal and Causal Inferential Study of European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Orofacial Anomalies

Congenital Gastrointestinal Anomalies in Europe 2010–2019: A Geo-Spatiotemporal and Causal Inferential Study of Epidemiological Patterns in Relationship to Cannabis- and Substance Exposure


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

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

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

International Journal of Data Science and Analytics

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

Hidden Biases in Unreliable News Detection Datasets

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

Utilizing Ensemble Learning for Detecting Multi-Modal Fake News


Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).

Part-Based Models Improve Adversarial Robustness

Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception


[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios


Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation


[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

Condensing Graphs via One-Step Gradient Matching

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

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights


A Chinese legal case retrieval dataset.

Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset

Prompt-based Effective Input Reformulation for Legal Case Retrieval

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise


Combinatorial Bayesian Optimization using the Graph Cartesian Product

Mercer Features for Efficient Combinatorial Bayesian Optimization

Toward real-world automated antibody design with combinatorial Bayesian optimization

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces

A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces

A Quadrature Approach for General-Purpose Batch Bayesian Optimization
  via Probabilistic Lifting


The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

Zero-Shot Text-to-Image Generation

DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes


Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Training Neural Networks with Fixed Sparse Masks

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Controllable Dynamic Multi-Task Architectures

Co-domain Symmetry for Complex-Valued Deep Learning

Provable Robustness against a Union of L_0 Adversarial Attacks

Auto-Precision Scaling for Distributed Deep Learning

To Raise or Not To Raise: The Autonomous Learning Rate Question

Self-Compressing Neural Networks


PAML is a program package for model fitting and phylogenetic tree reconstruction using DNA and protein sequence data. Please report only **technical issues** on this repository (e.g., compiling, programs abort or do not run at all, etc.). Problems with input data and general questions should be posted at https://groups.google.com/g/pamlsoftware?pli

Beginner's Guide on the Use of PAML to Detect Positive Selection

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Parallel Nonfunctionalization of CK1δ/ε Kinase Ohnologs Following a Whole-Genome Duplication Event

bioRxiv : the preprint server for biology

Genomic insights into metabolic flux in hummingbirds

Genomic insights into metabolic flux in ruby-throated hummingbirds


This is the reference implementation of commonly used coreference metrics.

Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events

DWIE: an entity-centric dataset for multi-task document-level information extraction

Joint Inference for Event Coreference Resolution

Multilingual Coreference Resolution with Harmonized Annotations

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities

Proceedings of the 2nd Workshop on Coreference Resolution Beyond
          OntoNotes (CORBON 2017)

CORBON 2017 Shared Task: Projection-Based Coreference Resolution

CEREC: A Corpus for Entity Resolution in Email Conversations

Event co-reference resolution via a multi-loss neural network without using argument information

Capturing the Content of a Document through Complex Event Identification

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics


vgraph is a command line application and Python library to compare genetic variants using variant graphs.  ``vgraph`` utilizes a graph representation of genomic variants in to precisely compare complex variants that are refractory to comparison by conventional comparison methods.

The MRC IEU OpenGWAS data infrastructure

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

The variant call format provides efficient and robust storage of GWAS summary statistics

Best Practices for Benchmarking Germline Small Variant Calls in Human Genomes


This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

Contrastive Learning for Label Efficient Semantic Segmentation


Python library for analysing faces using PyTorch

RetinaFace: Single-stage Dense Face Localisation in the Wild

AdaFace: Quality Adaptive Margin for Face Recognition

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

IEEE Transactions on Affective Computing

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

Symposium on Intelligent Systems and Informatics

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

Zenodo (CERN European Organization for Nuclear Research)

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices

Pre-training strategies and datasets for facial representation learning

Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition

Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition


Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

Order-Embeddings of Images and Language

Multimodal Convolutional Neural Networks for Matching Image and Sentence

VSE++: Improved Visual-Semantic Embeddings.

Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Focused Evaluation for Image Description with Binary Forced-Choice Tasks


COYO-700M: Large-scale Image-Text Pair Dataset

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

Hierarchical Text-Conditional Image Generation with CLIP Latents

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reproducible scaling laws for contrastive language-image learning

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

DataComp: In search of the next generation of multimodal datasets

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Multimodal Foundation Models: From Specialists to General-Purpose Assistants


Torrent Mapping Alignment Program

Characterizing and measuring bias in sequence data

Bioinformatics and Computational Tools for Next-Generation Sequencing Analysis in Clinical Genetics

A Cell-Intrinsic Interferon-like Response Links Replication Stress to Cellular Aging Caused by Progerin

Comparison of mapping algorithms used in high-throughput sequencing: application to Ion Torrent data

ALK FISH patterns and the detection of ALK fusions by next generation sequencing in lung adenocarcinoma

Elucidation of the molecular responses to waterlogging in Jatropha roots by transcriptome profiling

Comparative Transcriptome Analysis of Resistant and Susceptible Common Bean Genotypes in Response to Soybean Cyst Nematode Infection

Genetic Markers for Western Corn Rootworm Resistance to Bt Toxin

Drosophila Nipped-B Mutants Model Cornelia de Lange Syndrome in Growth and Behavior

Evaluation of an integrated clinical workflow for targeted next-generation sequencing of low-quality tumor DNA using a 51-gene enrichment panel


pytorch version of PointConv

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PointConv: Deep Convolutional Networks on 3D Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds


ASAP : Automated Single-cell Analysis Pipeline

ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data

Deep Learning in Single-Cell Analysis

ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

Criteria for the Evaluation of Workflow Management Systems for Scientific Data Analysis

Journal of Bioinformatics and Systems Biology


Virtual adversarial training with Tensorflow

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Semi-Supervised Sequence Modeling with Cross-View Training

Semi-Supervised Learning by Augmented Distribution Alignment

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision

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


Discrete Global Grids for R: Spatial Analysis Done Right

People have shaped most of terrestrial nature for at least 12,000 years

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

Perceived global increase in algal blooms is attributable to intensified monitoring and emerging bloom impacts

Biodiversity Data Integration: The significance of data resolution and domain

Recent accelerated diversification in rosids occurred outside the tropics

Source pools and disharmony of the world's island floras

Climatic drivers of latitudinal variation in Late Triassic tetrapod diversity

Combining Conventional Statistics and Big Data to Map Global Tourism Destinations Before COVID-19

Yellow fever surveillance suggests zoonotic and anthroponotic emergent potential

Geovisualization of Hydrological Flow in Hexagonal Grid Systems

The Aleutians and Beyond: Distribution, Size Composition, and Catch Dynamics of the Aleutian Skate Bathyraja aleutica across the North Pacific

Animals : an open access journal from MDPI


Repository for the XMSS reference code, accompanying RFC 8391, XMSS: eXtended Merkle Signature Scheme

LMS vs XMSS: Comparison of Stateful Hash-Based Signature Schemes on ARM Cortex-M4

PROGRESS IN CRYPTOLOGY - AFRICACRYPT 2020

Rapidly Verifiable XMSS Signatures

IACR Transactions on Cryptographic Hardware and Embedded Systems

Agile Acceleration of Stateful Hash-based Signatures in Hardware

ACM Transactions on Embedded Computing Systems


PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator


software to detect doublets

Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning

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

基因组蛋白质组与生物信息学报

Protocol for Executing and Benchmarking Eight Computational Doublet-Detection Methods in Single-Cell RNA Sequencing Data Analysis

Solo: doublet identification via semi-supervised deep learning

Vaeda computationally annotates doublets in single-cell RNA sequencing data


CFD-DEM Solver with emphasis on sediment transport

CFD–DEM simulations of current-induced dune formation and morphological evolution

Realistic representation of grain shapes in CFD-DEM simulations of sediment transport with a bonded-sphere approach

Investigating the settling dynamics of cohesive silt particles with particle-resolving simulations

Study of sedimentation of non-cohesive particles via CFD-DEM simulations

Coupled CFD‐DEM modeling to predict how EPS affects bacterial biofilm deformation, recovery and detachment under flow conditions

Sediment micromechanics in sheet flows induced by asymmetric waves: A CFD-DEM study

Particle dynamics in self-generated dunes over a range of hydraulic and sediment transport conditions using LES--DEM

Numerical Investigating on Representativeness of Tracers in PIV Model Test of Dredged Slurry Treated by Vacuum Preloading

CAMDLES: CFD-DEM Simulation of Microbial Communities in Spaceflight and Artificial Microgravity


Doublet detection in single-cell RNA-seq data.

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

A single-cell atlas of the human healthy airways

scds: computational annotation of doublets in single-cell RNA sequencing data

Targeted pharmacological therapy restores β-cell function for diabetes remission

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

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


Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Deep Graph Generators: A Survey

Partition and Code: learning how to compress graphs

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs


:chart_with_upwards_trend: Automatically optimise three of Velvet's assembly parameters.

Genomic differentiation among wild cyanophages despite widespread horizontal gene transfer

Global phylogeography and evolutionary history of Shigella dysenteriae type 1

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

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

Porphyromonas gingivalis Uses Specific Domain Rearrangements and Allelic Exchange to Generate Diversity in Surface Virulence Factors

Lineage-specific plasmid acquisition and the evolution of specialized pathogens in Bacillus thuringiensis and the Bacillus cereus group.

The genus Serratia revisited by genomics

Whole-genome sequencing of a quarter-century melioidosis outbreak in temperate Australia uncovers a region of low-prevalence endemicity

Genomic and Phenotypic Analyses of Acinetobacter baumannii Isolates From Three Tertiary Care Hospitals in Thailand

Pre-vaccine serotype composition within a lineage signposts its serotype replacement – a carriage study over 7 years following pneumococcal conjugate vaccine use in the UK


Official repository for the ProteinGym benchmarks

ProGen2: Exploring the Boundaries of Protein Language Models

RITA: a Study on Scaling Up Generative Protein Sequence Models

ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction

AutoEval Done Right: Using Synthetic Data for Model Evaluation

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction


Research Code for  Multimodal-Cognition Team in Ant Group

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

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

Proceedings of the 31st ACM International Conference on Multimedia

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

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

IEEE transactions on circuits and systems for video technology

SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment

M^2-Encoder: Advancing Bilingual Image-Text Understanding
  by Large-scale Efficient Pretraining

M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based
  Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval


A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction

Data Consistent Deep Rigid MRI Motion Correction

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

A Structured Matrix Method for Nonequispaced Neural Operators

Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs

PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging

Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction


Reference-based consensus creation

COVID‐19 severity from Omicron and Delta SARS‐CoV‐2 variants

One Health Investigation of SARS-CoV-2 Infection and Seropositivity among Pets in Households with Confirmed Human COVID-19 Cases—Utah and Wisconsin, 2020

One Health Investigation of SARS-CoV-2 in People and Animals on Multiple Mink Farms in Utah

COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study

CoVigator – a Knowledge Base for Navigating SARS-CoV-2 Genomic Variants


evm binary static analysis

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Vandal: A Scalable Security Analysis Framework for Smart Contracts

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Collection of most color palettes in a single R package

Biotin pathway in novel Fodinibius salsisoli sp. nov., isolated from hypersaline soils and reclassification of the genus Aliifodinibius as Fodinibius

A step into the rare biosphere: genomic features of the new genus Terrihalobacillus and the new species Aquibacillus salsiterrae from hypersaline soils

Genome assembly of 3 Amazonian Morpho butterfly species reveals Z-chromosome rearrangements between closely related species living in sympatry


The CLRS Algorithmic Reasoning Benchmark

A Generalist Neural Algorithmic Learner

Relational Attention: Generalizing Transformers for Graph-Structured Tasks

Position: Graph Foundation Models are Already Here

The CLRS-Text Algorithmic Reasoning Language Benchmark

Benchmarking ChatGPT on Algorithmic Reasoning


A novel approach for synthesizing tabular data using pretrained large language models

Language Models are Realistic Tabular Data Generators

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

CuTS: Customizable Tabular Synthetic Data Generation

CTSyn: A Foundational Model for Cross Tabular Data Generation


DPU on PYNQ

Efficient Edge-AI Application Deployment for FPGAs

Embedded Object Detection with Custom LittleNet, FINN and Vitis AI DCNN Accelerators

Journal of Low Power Electronics and Applications


RAT is an Analysis Tool

Theia: an advanced optical neutrino detector

Sensitivity of a low threshold directional detector to CNO-cycle solar neutrinos

Xenon-doped liquid argon TPCs as a neutrinoless double beta decay platform

Decisive disappearance search at high Δ m^2 with monoenergetic muon neutrinos

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Water-based Liquid Scintillator detector as a new technology testbed for neutrino studies in Turkey

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

KPipe: a decisive test for muon neutrino disappearance

Coincidence-based reconstruction for reactor antineutrino detection in gadolinium-doped Cherenkov detectors


A python package for turning sports video into csv files

SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch
  Videos


python library for atomistic machine learning

Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics

Lightweight and Effective Tensor Sensitivity for Atomistic Neural Networks

Machine Learning Framework for Modeling Exciton Polaritons in Molecular Materials

Machine learning potentials with Iterative Boltzmann Inversion: training to experiment


A curated list of articles that cover the software engineering best practices for building machine learning applications.

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement

Adoption and Effects of Software Engineering Best Practices in Machine Learning

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

Versioning for End-to-End Machine Learning Pipelines

International Conference on Management of Data

Practices for Engineering Trustworthy Machine Learning Applications

The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs


A high performance framework for radiation therapy simulation and numerical solutions for kinetic equations.

A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks

Neural network-based, structure-preserving entropy closures for the Boltzmann moment system

KiT-RT: An Extendable Framework for Radiative Transfer and Therapy

Predicting continuum breakdown with deep neural networks


Repository for the Georgetown University Multilayer Corpus (GUM)

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations

Semantically Constrained Multilayer Annotation: The Case of Coreference

Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes

Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises

Workshop on Innovative Use of NLP for Building Educational Applications

What Causes the Failure of Explicit to Implicit Discourse Relation
  Recognition?


Firmware for Libre Solar MPPT/PWM charge controllers


Parse soil measurement data.


An Open-Source Package for Network Embedding (NE)

Graph Neural Networks: A Review of Methods and Applications

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Graph embedding on biomedical networks: methods, applications and evaluations

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

Graph-based Semi-supervised Learning: A Comprehensive Review

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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

MILE: A Multi-Level Framework for Scalable Graph Embedding

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Automated Machine Learning on Graphs: A Survey


Bayesian Atmospheric Radiative Transfer fitting code

petitRADTRANS: a Python radiative transfer package for exoplanet characterization and retrieval.

TEA: A CODE CALCULATING THERMOCHEMICAL EQUILIBRIUM ABUNDANCES

The Astrophysical Journal Supplement Series

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

Identifying the ‘true’ radius of the hot sub-Neptune CoRoT-24b by mass-loss modelling

Monthly Notices of the Royal Astronomical Society: Letters

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. I. Design, Tests, and Application to Exoplanet HD 189733b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. II. The Transit Radiative Transfer Module and Retrieval of HAT-P-11b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


Synthetic graph generator for the LDBC Social Network Benchmark, running on Spark

The LDBC Social Network Benchmark

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop

In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)

An architectural proposal to explore the data of a private community through visual analytic

Technological Ecosystems for Enhancing Multiculturality

An analysis of the SIGMOD 2014 Programming Contest: Complex queries on the LDBC social network graph

Reasoning on Property Graphs with Graph Generating Dependencies

The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space


C++ logic network library

A Simulation-Guided Paradigm for Logic Synthesis and Verification

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Irredundant Buffer and Splitter Insertion and Scheduling-Based Optimization for AQFP Circuits

Impact of Sequential Design on the Cost of Adiabatic Quantum-Flux Parametron Circuits

IEEE transactions on applied superconductivity

Physically Aware Synthesis Revisited: Guiding Technology Mapping with
  Primitive Logic Gate Placement

An Automated Testing and Debugging Toolkit for Gate-Level Logic Synthesis Applications


Various algorithms for analysing genomics data

Unscrambling cancer genomes via integrated analysis of structural variation and copy number

Genetic immune escape landscape in primary and metastatic cancer

Genetic Subgroups Inform on Pathobiology in Adult and Pediatric Burkitt Lymphoma

Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer

Distinct Genomic Profiles Are Associated with Treatment Response and Survival in Ovarian Cancer

Enhancing sensitivity and controlling false discovery rate in somatic indel discovery

Lost by Transcription: Fork Failures, Elevated Expression, and Clinical Consequences Related to Deletions in Metastatic Colorectal Cancer

International journal of molecular sciences

Familial Occurrence of Adult Granulosa Cell Tumors: Analysis of Whole-Genome Germline Variants

Non-homologous end joining shapes the genomic rearrangement landscape of chromothripsis from mitotic errors

bioRxiv : the preprint server for biology

H&E image analysis pipeline for quantifying morphological features


a long read simulator that can imitate many types of read problems

Badread: simulation of error-prone long reads

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Detection of alternative isoforms of gene fusions from long-read RNA-seq with FLAIR-fusion