Molecular structure optimizer

Improving excited state potential energy surfaces via optimal orbital shapes

Alchemical geometry relaxation

S-Diagnostic─An a Posteriori Error Assessment for Single-Reference Coupled-Cluster Methods.

Even order contributions to relative energies vanish for antisymmetric perturbations


Repository for VOneNet models

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

Wavelets Beat Monkeys at Adversarial Robustness

Training on Foveated Images Improves Robustness to Adversarial Attacks

Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends


This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models

BDPGO: Balanced Distributed Pose Graph Optimization Framework for Swarm Robotics

Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM


DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation


An R Package for Importing Data from Our World in Data


Automatic differentiation with weighted finite-state transducers.

Differentiable Weighted Finite-State Transducers

Powerful and Extensible WFST Framework for RNN-Transducer Losses

Parallel Composition of Weighted Finite-State Transducers


RISC-V processor emulator written in Rust+WASM


Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Graph Rationalization with Environment-based Augmentations

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

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Learning Invariant Molecular Representation in Latent Discrete Space

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


Simple, extendable, easy to understand Glow implementation in PyTorch

Glow: Generative Flow with Invertible 1x1 Convolutions

Do Deep Generative Models Know What They Don't Know?

Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Denoising diffusion models for out-of-distribution detection

Refining Deep Generative Models via Discriminator Gradient Flow

Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models

RockFlow: Fast Generation of Synthetic Source Rock Images Using Generative Flow Models

Normalizing flows for random fields in cosmology


Command-line tool for the visualization of splicing events across multiple samples

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

Nopp140-chaperoned 2’-O-methylation of small nuclear RNAs in Cajal bodies ensures splicing fidelity

bioRxiv : the preprint server for biology

Genome-wide identification of tandem repeats associated with splicing variation across 49 tissues in humans

Alternative splicing in lung influences COVID-19 severity and respiratory diseases


Generating images with recurrent adversarial networks

CapsuleGAN: Generative Adversarial Capsule Network

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks

Generative Adversarial Parallelization


Zero-Resource Translation with Multi-Lingual Neural Machine Translation

Joint Copying and Restricted Generation for Paraphrase

A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation

Meeting of the Association for Computational Linguistics

Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language

Conference of the Association for Machine Translation in the Americas


A collection of implementations of deep domain adaptation algorithms

A Comprehensive Survey on Transfer Learning

Deep Subdomain Adaptation Network for Image Classification

IEEE transactions on neural networks and learning systems

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Multi-representation adaptation network for cross-domain image classification

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

Adaptive Trajectory Prediction via Transferable GNN

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction

Transfer Learning Toolkit: Primers and Benchmarks

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios


CVPR 2022 VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

BallGAN: 3D-aware Image Synthesis with a Spherical Background

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase


impact-driven-exploration

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

ELLA: Exploration through Learned Language Abstraction

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Maximum Entropy Modeling Toolkit for Python and C++

Geolocation Prediction in Social Media Data by Finding Location Indicative Words

International Conference on Computational Linguistics

The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings

A technology prototype system for rating therapist empathy from audio recordings in addiction counseling

Automatic Aggregation by Joint Modeling of Aspects and Values

Journal of Artificial Intelligence Research

Linguistic Profiling based on General--purpose Features and Native Language Identification

Workshop on Innovative Use of NLP for Building Educational Applications

A Maximum Entropy Approach to Chinese Spelling Check

The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification

Conference on Computational Natural Language Learning

NAIST at the HOO 2012 Shared Task

North American Chapter of the Association for Computational Linguistics


A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Novelty Detection: A Perspective from Natural Language Processing

International Conference on Computational Logic

Adapting by Pruning: A Case Study on BERT

Contradiction Detection in Persian Text


VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses

Review article: the human intestinal virome in health and disease

Application of Machine Learning in Microbiology

Human Virome and Disease: High-Throughput Sequencing for Virus Discovery, Identification of Phage-Bacteria Dysbiosis and Development of Therapeutic Approaches with Emphasis on the Human Gut

Machine Learning Advances in Microbiology: A Review of Methods and Applications

Bioinformatic approaches for studying the microbiome of fermented food

VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models

Seasonal Regime Shift in the Viral Communities of a Permafrost Thaw Lake

Current trends in RNA virus detection through metatranscriptome sequencing data


CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)

Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

Visual Causal Scene Refinement for Video Question Answering

Cross-Modal Causal Intervention for Medical Report Generation

MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments


Curiosity-driven Exploration by Self-supervised Prediction

Proximal Policy Optimization Algorithms

Large-Scale Study of Curiosity-Driven Learning

Efficient Parallel Methods for Deep Reinforcement Learning

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration

Beyond Surprise: Improving Exploration Through Surprise Novelty


Nanopore data  assembler

Efficient assembly of nanopore reads via highly accurate and intact error correction

Semi-automated assembly of high-quality diploid human reference genomes

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

Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensis

A strategy for complete telomere-to-telomere assembly of ciliate macronuclear genome using ultra-high coverage Nanopore data

Whole Genome Sequence of Alternaria alternata, the Causal Agent of Black Spot of Kiwifruit

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

Chromosome-scale genome assembly of Prunus pusilliflora provides novel insights into genome evolution, disease resistance, and dormancy release in Cerasus L.

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

Near-Chromosome-Level Genome Assembly of the Dark Septate Endophyte Laburnicola rhizohalophila: A Model for Investigating Root-Fungus Symbiosis


Fast Principal Component Analysis of Large-Scale Genome-Wide Data

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease

FlashPCA: fast sparse canonical correlation analysis of genomic data

Genome-wide association analysis identifies a susceptibility locus for sporadic vestibular schwannoma at 9p21


LLM for Drug Editing, ICLR 2024

A Text-guided Protein Design Framework

ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Bioinformatics and biomedical informatics with ChatGPT: Year one review


[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Contrastive Representation Distillation

Knowledge Distillation via the Target-aware Transformer

Learning Student-Friendly Teacher Networks for Knowledge Distillation

Curriculum Temperature for Knowledge Distillation

CompRess: Self-Supervised Learning by Compressing Representations

Improved Feature Distillation via Projector Ensemble

What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Distilling Knowledge by Mimicking Features

IEEE transactions on pattern analysis and machine intelligence

Meta Knowledge Distillation

Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression


A car detection model implemented in Tensorflow.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Disentangling Monocular 3D Object Detection

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

RGB Cameras Failures and Their Effects in Autonomous Driving Applications


a lightweight bam file depth statistical tool

Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing

The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale

Whole Genome Assembly of Human Papillomavirus by Nanopore Long-Read Sequencing

Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly

Cytogenetic identification and molecular marker development of a novel wheat-Leymus mollis 4Ns(4D) alien disomic substitution line with resistance to stripe rust and Fusarium head blight

Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution

Genomic Diversity Illuminates the Environmental Adaptation of Drosophila suzukii

Detecting and monitoring bladder cancer with exfoliated cells in urine

ViralFlow: an automated workflow for SARS-CoV-2 genome assembly, lineage assignment, mutations and intrahost variants detection

Assessment of clinical characteristics and viral load in individuals infected by Delta and Omicron variants of SARS-CoV-2


Dataset of GPT-2 outputs for research in detection, biases, and more

The Curious Case of Neural Text Degeneration

Can AI-Generated Text be Reliably Detected?

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Assessing Social and Intersectional Biases in Contextualized Word Representations

Automatic Detection of Machine Generated Text: A Critical Survey

Authorship Attribution for Neural Text Generation

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Trojaning Language Models for Fun and Profit

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Trading Off Diversity and Quality in Natural Language Generation


Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

Techniques for Symbol Grounding with SATNet

Assessing SATNet's Ability to Solve the Symbol Grounding Problem

Refining neural network predictions using background knowledge

Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer


Yahoo! Cloud Serving Benchmark in C++, a C++ version of YCSB (https://github.com/brianfrankcooper/YCSB/wiki)

VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores

Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory

Balancing Garbage Collection vs I/O Amplification using dynamic KV separation

Storage Management with Multi-Version Partitioned BTrees


Mapping Wikipedia pages to Wikidata IDs and vice versa.

Enriching BERT with Knowledge Graph Embeddings for Document Classification

BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

Entity Linking in Tabular Data Needs the Right Attention

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning

MathGloss: Building mathematical glossaries from text

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering


[NeurIPS 2019] Deep Leakage From Gradients

Inverting Gradients -- How easy is it to break privacy in federated learning?

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

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

TextHide: Tackling Data Privacy in Language Understanding Tasks

Federated Deep Learning with Bayesian Privacy

Deep Leakage from Gradients

Recover User’s Private Training Image Data by Gradient in Federated Learning


The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Are Transformers Effective for Time Series Forecasting?

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

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

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

SAITS: Self-Attention-based Imputation for Time Series

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting

TCCT: Tightly-coupled convolutional transformer on time series forecasting

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

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


:newspaper: High-performance tool for negation and uncertainty detection in radiology reports

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

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

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Deep learning in generating radiology reports: A survey

Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora

A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text

Portée de la négation : détection par apprentissage supervisé en français et portugais brésilien

HAL (Le Centre pour la Communication Scientifique Directe)


Challenges in Data-to-Document Generation

Data-to-Text Generation with Content Selection and Planning

Revisiting Challenges in Data-to-Text Generation with Fact Grounding

Grounding NBA Matchup Summaries

Proceedings of the 14th International Conference on Natural Language Generation


R interface to D3 chord diagrams

The LOTUS initiative for open knowledge management in natural products research

Using a Chord Diagram to Visualize Dynamics in Contraceptive Use: Bringing Data Into Practice

An Empirical Analysis of Synergies and Tradeoffs between Sustainable Development Goals

Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks

Analyzing author collaborations by developing a follower-leader clustering algorithm and identifying top co-authoring countries: Cluster analysis

Analysis of RASFF notifications on contaminated dairy products from the last two decades: 2000-2020

Molecular evidence for extensive discontinuity between peracarid (Crustacea) fauna of Macaronesian islands and nearby continental coasts: over fifty candidate endemic species


Convolutional 2D Knowledge Graph Embeddings resources

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Adaptive Convolution for Multi-Relational Learning

Commonsense Knowledge Base Completion with Structural and Semantic Context

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Incorporating Literals into Knowledge Graph Embeddings

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS


Collection of tools for building diachronic/historical word vectors

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models

The Eurocentric Fallacy. A Digital-Historical Approach to the Concepts of ‘Modernity’, ‘Civilization’ and ‘Europe’ (1840–1990)

International Journal for History, Culture and Modernity

Changesin the midst ofa construction network: a diachronic construction grammar approach to complex prepositions denoting internal location

US News and Social Media Framing around Vaping

Collecting Tweets to Investigate Regional Variation in Canadian English

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

Seeing through the mess: evolutionary dynamics of lexical polysemy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction"  (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results


RaGOO is no longer supported. Please use RagTag instead: https://github.com/malonge/RagTag

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

Twelve quick steps for genome assembly and annotation in the classroom

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

Fast and accurate reference-guided scaffolding of draft genomes

Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation

The reference genome and transcriptome of the limestone langur, Trachypithecus leucocephalus, reveal expansion of genes related to alkali tolerance

CRISPR/Cas9-Mediated Enrichment Coupled to Nanopore Sequencing Provides a Valuable Tool for the Precise Reconstruction of Large Genomic Target Regions

International journal of molecular sciences

GALA: a computational framework for de novo chromosome-by-chromosome assembly with long reads

Zenodo (CERN European Organization for Nuclear Research)


The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

MAGSAC: marginalizing sample consensus

MAGSAC++, a fast, reliable and accurate robust estimator

Marginalizing Sample Consensus

VSAC: Efficient and Accurate Estimator for H and F

Generalized Differentiable RANSAC

NeFSAC: Neurally Filtered Minimal Samples

USACv20: robust essential, fundamental and homography matrix estimation

Space-Partitioning RANSAC

Consensus-Adaptive RANSAC


The PyTorch implementation of fine-tuning the GPT-2(Generative Pre-trained Transformer 2) for dialogue generation.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills


HUMAnN is the next generation of HUMAnN 1.0 (HMP Unified Metabolic Analysis Network).

Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals

Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration

Comparing Circadian Rhythmicity in the Human Gut Microbiome

Correlation of gut microbiota and metabolic functions with the antibody response to the BBIBP-CorV vaccine

Cross-feeding between intestinal pathobionts promotes their overgrowth during undernutrition

Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis Analyses

Insights into the Composition of a Co-Culture of 10 Probiotic Strains (OMNi BiOTiC® AAD10) and Effects of Its Postbiotic Culture Supernatant


This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

ChEX: Interactive Localization and Region Description in Chest X-rays


Hanzi Converter for Traditional and Simplified Chinese

Beyond English-Centric Multilingual Machine Translation

m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark

Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System

Proceedings of the 17th International Conference on Spoken Language Translation

2kenize: Tying Subword Sequences for Chinese Script Conversion

Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission

Papago’s Submissions to the WMT21 Triangular Translation Task

ISTIC’s Triangular Machine Translation System for WMT2021


Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

Meta reinforcement learning as task inference

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Hypernetworks in Meta-Reinforcement Learning

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

On the Practical Consistency of Meta-Reinforcement Learning Algorithms

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

ODE-based Recurrent Model-free Reinforcement Learning for POMDPs

Meta-Learning Parameterized Skills

Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach


Self-supervised contrastive learning for time series via time-frequency consistency

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

A Survey on Time-Series Pre-Trained Models

A Co-training Approach for Noisy Time Series Learning

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

Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data


Simple language-driven navigation tasks for studying compositional learning

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

Compositional generalization in a deep seq2seq model by separating syntax and semantics

Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks

The Future of Computational Linguistics: On Beyond Alchemy

What they do when in doubt: a study of inductive biases in seq2seq learners

Compositional Generalization by Factorizing Alignment and Translation

Meeting of the Association for Computational Linguistics

Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models

Revisit Systematic Generalization via Meaningful Learning


A bioinformatics software tool for clinical interpretation of genetic variants by the 2015 ACMG-AMP guideline

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation

Genetics in medicine : official journal of the American College of Medical Genetics

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

CardioClassifier – demonstrating the power of disease- and gene-specific computational decision support for clinical genome interpretation


Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

d3rlpy: An Offline Deep Reinforcement Learning Library

LaND: Learning to Navigate from Disengagements

Supported Policy Optimization for Offline Reinforcement Learning

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation

Dual Generator Offline Reinforcement Learning


Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series

ViTs for SITS: Vision Transformers for Satellite Image Time Series

Revisiting the Encoding of Satellite Image Time Series


Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Implementation of the LandTrendr Algorithm on Google Earth Engine

Mapping Above-Ground Carbon Stocks at the Landscape Scale to Support a Carbon Compensation Mechanism: The Chocó Andino Case Study


[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge


A steganalysis tool for detecting LSB steganography in images

StegExpose - A Tool for Detecting LSB Steganography

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Multitask Identity-Aware Image Steganography via Minimax Optimization

Cover-aware Steganalysis

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack

An Efficient Light-weight LSB steganography with Deep learning Steganalysis


Repository for Scale-recurrent Network for Deep Image Deblurring

Deep Ordinal Regression Network for Monocular Depth Estimation

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

TIAToolbox as an end-to-end library for advanced tissue image analytics

Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis

One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer

Utility of artificial intelligence in a binary classification of soft tissue tumors

Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial


[Neurips 2023] T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept
  Matching


This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

Evaluating Conversational Recommender Systems via User Simulation

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

Plato Dialogue System: A Flexible Conversational AI Research Platform

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems

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

User Simulation for Evaluating Information Access Systems

Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges

How to Evaluate Your Dialogue Models: A Review of Approaches


Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Anomaly Detection in Partially Observed Traffic Networks

Adaptive Sampling for Rapidly Matching Histograms

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

International Conference on Information and Knowledge Management

Statistical inference on the Hilbert sphere with application to random densities


ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

The Financial Narrative Summarisation Shared Task (FNS 2020)

The Financial Narrative Summarisation Shared Task FNS 2021:FNS 2021

Transformer-based Models for Long Document Summarisation in Financial Domain

Extractive Financial Narrative Summarisation using SentenceBERT Based Clustering

Summarisation with Majority Opinion

Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

The International FLAIRS Conference Proceedings

Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space

˜The œinternational Arab journal of information technology

Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization


This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

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

Dynamic Graph CNN for Learning on Point Clouds

PointConv: Deep Convolutional Networks on 3D Point Clouds

Deep Closest Point: Learning Representations for Point Cloud Registration

PCN: Point Completion Network

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

FlowNet3D: Learning Scene Flow in 3D Point Clouds

RPM-Net: Robust Point Matching using Learned Features

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


GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

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

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery


Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

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

FREDE: Anytime Graph Embeddings

Adaptive Network Automata Modelling of Complex Networks


Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

ClimODE: Climate and Weather Forecasting with Physics-informed Neural
  ODEs

Proceedings of the 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine.

Optimizing CT Scan Geometries With and Without Gradients


Code for the paper "On First-Order Meta-Learning Algorithms"

On First-Order Meta-Learning Algorithms

Meta-Learning of Neural Architectures for Few-Shot Learning

Provable Guarantees for Gradient-Based Meta-Learning

Meta-Learning Initializations for Image Segmentation

Chameleon: Learning Model Initializations Across Tasks With Different Schemas

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering


Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Text Recognition in the Wild: A Survey

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

Rethinking Irregular Scene Text Recognition

OmniPrint: A Configurable Printed Character Synthesizer

An Empirical Study of Scaling Law for OCR

Weakly Supervised Scene Text Detection using Deep Reinforcement Learning


Samples for CUDA Developers which demonstrates features in CUDA Toolkit

StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture

Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations

Supporting Unified Shader Specialization by Co-opting C++ Features

Proceedings of the ACM on Computer Graphics and Interactive Techniques

DxPU: Large-scale Disaggregated GPU Pools in the Datacenter

ACM Transactions on Architecture and Code Optimization (TACO)

Accelerated linear algebra compiler for computationally efficient numerical models: Success and potential area of improvement

Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame


The ultimate list of open data semantic 3D city models

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

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

Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks

Open-Source Tool for Transforming CityGML Levels of Detail

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

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

MLS2LoD3: Refining low LoDs building models with MLS point clouds to
  reconstruct semantic LoD3 building models

Classifying point clouds at the facade-level using geometric features
  and deep learning networks

Reconstructing facade details using MLS point clouds and Bag-of-Words
  approach


Tree detection from aerial imagery in Python


MS-Loss: Multi-Similarity Loss for Deep Metric Learning

Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies


Info and sample codes for "NTU RGB+D Action Recognition Dataset"

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

RGB-D-based Human Motion Recognition with Deep Learning: A Survey

A Survey on Human-aware Robot Navigation

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition

MSST-RT: Multi-Stream Spatial-Temporal Relative Transformer for Skeleton-Based Action Recognition

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

Future Pose Prediction from 3D Human Skeleton Sequence with Surrounding Situation


Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Multiple-Attribute Text Style Transfer

Deep Learning for Text Style Transfer: A Survey

Style Transfer as Unsupervised Machine Translation

Explaining The Efficacy of Counterfactually Augmented Data

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer

Text Style Transfer

Composable Text Controls in Latent Space with ODEs

Text Style Transfer with Contrastive Transfer Pattern Mining

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer


Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

SEGAN: Speech Enhancement Generative Adversarial Network

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

Speech Denoising with Deep Feature Losses

Deep learning for minimum mean-square error approaches to speech enhancement

DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Restoring speech intelligibility for hearing aid users with deep learning

Deep Xi as a Front-End for Robust Automatic Speech Recognition

Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network

A Two-Stage Deep Neuroevolutionary Technique for Self-Adaptive Speech Enhancement

Sum-Product Networks for Robust Automatic Speaker Recognition.


Discovering Interpretable GAN Controls [NeurIPS 2020]

GANSpace: Discovering Interpretable GAN Controls

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions

GAN "Steerability" without optimization

Surrogate Gradient Field for Latent Space Manipulation

Tensor Component Analysis for Interpreting the Latent Space of GANs

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

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

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes


Visualize Solidity control flow for smart contract security analysis.  :dollar: ⇆ :dollar:

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

Zenodo (CERN European Organization for Nuclear Research)

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Scilla: a Smart Contract Intermediate-Level LAnguage

Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

SMACS: Smart Contract Access Control Service

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media

A Survey of Verification, Validation and Testing Solutions for Smart Contracts

Continuous and Secure Integration Framework for Smart Contracts

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Visual Studio Code

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Duplicate Bug Report Detection: How Far Are We?

An Empirical Study on Using Multi-Labels for Issues in GitHub

AutoPRTitle: A Tool for Automatic Pull Request Title Generation

The quasi-adiabatic relaxation of haloes in the IllustrisTNG and EAGLE cosmological simulations

Personalized First Issue Recommender for Newcomers in Open Source Projects

DevReplay: Automatic Repair with Editable Fix Pattern

Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization

Hidden inheritance: an inline caching design for TypeScript performance

Proceedings of the ACM on Programming Languages


dabnn is an accelerated binary neural networks inference framework for mobile platform

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Forward and Backward Information Retention for Accurate Binary Neural Networks

A comprehensive review of Binary Neural Network

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

Balanced Binary Neural Networks with Gated Residual

Efficient Bitwidth Search for Practical Mixed Precision Neural Network


Climate Variability Indices for Ecological Modelling


Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition

ProtoCLIP: Prototypical Contrastive Language Image Pretraining

Self-supervised Character-to-Character Distillation for Text Recognition


Land Ice Verification & Validation Toolkit

LIVVkit 2.1: automated and extensible ice sheet model validation


CRISPR, faster, better – The Crackling method for whole-genome target detection

CRISPR-SE: a brute force search engine for CRISPR design

Rapid Whole-Genome Identification of High Quality CRISPR Guide RNAs with the Crackling Method.


A log-linear time algorithm for constrained changepoint detection

gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection

A greedy graph search algorithm based on changepoint analysis for automatic QRS complex detection


StarNet

Image-to-Image Translation with Conditional Adversarial Networks

Image De-Raining Using a Conditional Generative Adversarial Network

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

Perceptual Adversarial Networks for Image-to-Image Transformation

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

Learning to Kindle the Starlight


Finmag source

Driving magnetic skyrmions with microwave fields

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

Micromagnetics and spintronics: models and numerical methods

Dynamics of skyrmionic states in confined helimagnetic nanostructures

Microwave-induced dynamic switching of magnetic skyrmion cores in nanodots

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

Skyrmions in thin films with easy-plane magnetocrystalline anisotropy

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

Skyrmion states in thin confined polygonal nanostructures

Hysteresis of nanocylinders with Dzyaloshinskii-Moriya interaction


Gravitational Rigid-body InTegrators, for simulating the coupled dynamics of both spin and orbit.

GRIT: A Package for Structure-Preserving Simulations of Gravitationally Interacting Rigid Bodies

Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian

Low Spin-Axis Variations of Circumbinary Planets

Were the Obliquities in DI Herculis Excited by an Unseen Tertiary Companion?


Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing


A parallel python Milne Eddington synthesis framework

Spicules and downflows in the solar chromosphere

Signatures of ubiquitous magnetic reconnection in the lower solar atmosphere

Heating of the solar chromosphere through current dissipation

Active region chromospheric magnetic fields

High-resolution observations of the solar photosphere, chromosphere, and transition region

Signatures of ubiquitous magnetic reconnection in the deep atmosphere of sunspot penumbrae

The Chromosphere Underneath a Coronal Bright Point

Properties of ubiquitous magnetic reconnection events in the lower solar atmosphere

Properties of shock waves in the quiet-Sun chromosphere

Magnetic Fields in Solar Plage Regions: Insights from High-sensitivity Spectropolarimetry


Visibility sampler

THE COUPLED PHYSICAL STRUCTURE OF GAS AND DUST IN THE IM Lup PROTOPLANETARY DISK

CO and Dust Properties in the TW Hya Disk from High-resolution ALMA Observations

Mass inventory of the giant-planet formation zone in a solar nebula analogue

A Complete ALMA Map of the Fomalhaut Debris Disk

Variable H13CO+ Emission in the IM Lup Disk: X-Ray Driven Time-dependent Chemistry?

EVIDENCE FOR A CO DESORPTION FRONT IN THE OUTER AS 209 DISK

ALMA Detection of Extended Millimeter Halos in the HD 32297 and HD 61005 Debris Disks

H2CO Distribution and Formation in the TW HYA Disk

Increased H2CO production in the outer disk around HD 163296

Resolved Millimeter Observations of the HR 8799 Debris Disk


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of Geophysical Research: Earth Surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

The Open Global Glacier Model (OGGM) v1.1

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

Modelling distributed and channelized subglacial drainage: the spacing of channels

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


nTorrent implementation. The application design is presented in the paper "nTorrent: Peer-to-Peer File Sharing in Named Data Networking": https://users.cs.fiu.edu/~afanasyev/assets/papers/mastorakis2017ntorrent.pdf

Porting nTorrent to ndnSIM


NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling

FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric

ACM Transactions on Reconfigurable Technology and Systems

Platform Independent Software Analysis for Near Memory Computing

Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering


Conference and Journal Paper Implementations

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot


The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

Declarative Experimentation in Information Retrieval using PyTerrier

International Conference on the Theory of Information Retrieval

Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators


A Causal-Consistent Reversible Debugger for Erlang

A Theory of Reversibility for Erlang

Causal-Consistent Reversible Debugging: Improving CauDEr

Practical Aspects of Declarative Languages

Reversing an Imperative Concurrent Programming Language

revTPL: The Reversible Temporal Process Language

A Lightweight Approach to Computing Message Races with an Application to Causal-Consistent Reversible Debugging

Computing Race Variants in Message-Passing Concurrent Programming with Selective Receives

A Program Instrumentation for Prefix-Based Tracing in Message-Passing Concurrency.


Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory

Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability

Impedance-Based Root-Cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity

Mapping of Dynamics Between Mechanical and Electrical Ports in SG-IBR Composite Grids

The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability

Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power Systems


A toolkit for tracking energy, carbon, and compute metrics for machine learning (or any other) experiments.

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

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

Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

The Ecological Footprint of Neural Machine Translation Systems

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System

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

Understanding the Energy Consumption of HPC Scale Artificial Intelligence


Import Climate Indices into R


Food and Agriculture Biomass Input-Output Tables


A Mathematica package for the derivation of functional equations

Nonperturbative properties of Yang-Mills theories

Lorentzian quantum gravity and the graviton spectral function

DoFun 3.0: Functional equations in mathematica

QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations


KITTeL/KoAT

Alternating Runtime and Size Complexity Analysis of Integer Programs

Tools and Algorithms for Construction and Analysis of Systems

Termination Analysis of C Programs Using Compiler Intermediate Languages

Complexity and Resource Bound Analysis of Imperative Programs Using Difference Constraints

Termination Analysis of Imperative Programs Using Bitvector Arithmetic

Verified Software: Theories, Tools, Experiments

Synthesising Interprocedural Bit-Precise Termination Proofs

Difference Constraints: An adequate Abstraction for Complexity Analysis of Imperative Programs

Inferring Lower Runtime Bounds for Integer Programs

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


A R extension to Retrieve EPA Air Quality System Data via the AQS Data Mart API


a Sparse Direct Solver modulo p

Cluster adjacency and the four-loop NMHV heptagon

Complete integration-by-parts reductions of the non-planar hexagon-box via module intersections

Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space

Cluster adjacency beyond MHV

Bootstrapping a stress-tensor form factor through eight loops

The Steinmann Cluster Bootstrap for N=4 Super Yang-Mills Amplitudes

NeatIBP 1.0, a package generating small-size integration-by-parts relations for Feynman integrals

Equivariant birational geometry and modular symbols

SymBuild: a package for the computation of integrable symbols in scattering amplitudes

The SAGEX review on scattering amplitudes Chapter 5: Analytic bootstraps for scattering amplitudes and beyond


Assign genotypes to Salmonella Typhi genomes based on VCF files (mapped to Typhi CT18 reference genome)

Emergence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Clone Harboring a Promiscuous Plasmid Encoding Resistance to Fluoroquinolones and Third-Generation Cephalosporins

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

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy

Tracking the Emergence of Azithromycin Resistance in Multiple Genotypes of Typhoidal Salmonella

Spontaneous Emergence of Azithromycin Resistance in Independent Lineages of Salmonella Typhi in Northern India

Five Years of GenoTyphi: Updates to the Global Salmonella Typhi Genotyping Framework

A Race against Time: Reduced Azithromycin Susceptibility in Salmonella enterica Serovar Typhi in Pakistan

Global diversity and antimicrobial resistance of typhoid fever pathogens: Insights from a meta-analysis of 13,000 Salmonella Typhi genomes

Salmonella Typhi acquires diverse plasmids from other Enterobacteriaceae to develop cephalosporin resistance

Whole Genome Sequence Analysis of Salmonella Typhi Isolated in Thailand before and after the Introduction of a National Immunization Program


CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets

Highly efficient therapeutic gene editing of human hematopoietic stem cells

In vivo HSC prime editing rescues sickle cell disease in a mouse model

Base editing rescue of spinal muscular atrophy in cells and in mice

Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice

Vision rescue via unconstrained in vivo prime editing in degenerating neural retinas

Correction of a urea cycle defect after ex vivo gene editing of human hepatocytes

Molecular therapy : the journal of the American Society of Gene Therapy


Python interface for a 2D optimal transport / Monge Ampère solver using Laguerre diagrams

Convergence of a Newton algorithm for semi-discrete optimal transport

A Lagrangian scheme for the incompressible Euler equation using optimal transport

A Newton algorithm for semi-discrete optimal transport with storage fees

Second-Order Models for Optimal Transport and Cubic Splines on the Wasserstein Space

Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures


Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.

Semi-Parametric Neural Image Synthesis

Instance-Conditioned GAN

Controllable Image Generation via Collage Representations

Instance-Conditioned GAN Data Augmentation for Representation Learning

Large-Scale Public Data Improves Differentially Private Image Generation Quality


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

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

Entity Linking over Nested Named Entities for Russian

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Drosophila transposable element canonical sequences

Engineered sex ratio distortion by X-shredding in the global agricultural pest Ceratitis capitata

A Transposon Story: From TE Content to TE Dynamic Invasion of Drosophila Genomes Using the Single-Molecule Sequencing Technology from Oxford Nanopore

Deep repeat resolution—the assembly of the Drosophila Histone Complex

Nuclear Ccr4-Not mediates the degradation of telomeric and transposon transcripts at chromatin in the Drosophila germline

Genomic analysis of P elements in natural populations of Drosophila melanogaster

Transposable element profiles reveal cell line identity and loss of heterozygosity in Drosophila cell culture

Local assembly of long reads enables phylogenomics of transposable elements in a polyploid cell line

ChimeraTE: a pipeline to detect chimeric transcripts derived from genes and transposable elements

Chromosome-specific maturation of the epigenome in the Drosophila male germline

Reconstructing the Invasion Route of the P-Element in Drosophila melanogaster Using Extant Population Samples


Deep learning for deforestation classification and forecasting in satellite imagery


RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

IEEE transactions on pattern analysis and machine intelligence

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Language-Level Semantics Conditioned 3D Point Cloud Segmentation

Automatic labelling of urban point clouds using data fusion


Word to Gaussian Mixture Model

Probabilistic FastText for Multi-Sense Word Embeddings

Multimodal Word Distributions

Word2Sense: Sparse Interpretable Word Embeddings

Meeting of the Association for Computational Linguistics

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection


A compiler for quantum computers based on A* and numerical optimization.

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach

Efficient quantum gate decomposition via adaptive circuit compression

Exploring finite temperature properties of materials with quantum computers

Highly optimized quantum circuits synthesized via data-flow engines


Create future EnergyPlus Weather files using CMIP6 data

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


Lesion to Symptom Mapping in R

Relative contributions of lesion location and lesion size to predictions of varied language deficits in post-stroke aphasia

White matter disconnection of left multiple demand network is associated with post-lesion deficits in cognitive control

Behavioural and neural structure of fluent speech production deficits in aphasia

A presurgical voxel-wise predictive model for cerebellar mutism syndrome in children with posterior fossa tumors


Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Distinct evolutionary dynamics of horizontal gene transfer in drug resistant and virulent clones of Klebsiella pneumoniae

Genome-scale rates of evolutionary change in bacteria

Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam

In silico serotyping of E. coli from short read data identifies limited novel O-loci but extensive diversity of O:H serotype combinations within and between pathogenic lineages

Genomic Epidemiology of Global Carbapenemase-Producing Enterobacter spp., 2008-2014

Convergence of virulence and MDR in a single plasmid vector in MDR Klebsiella pneumoniae ST15

The Journal of antimicrobial chemotherapy

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection

Genomic dissection of Klebsiella pneumoniae infections in hospital patients reveals insights into an opportunistic pathogen

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy


A package for clustering of Signed Networks

SPONGE: A generalized eigenproblem for clustering signed networks

SSSNET: Semi-Supervised Signed Network Clustering

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

Advances in scaling community discovery methods for signed graph networks


BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Selective Weak Supervision for Neural Information Retrieval

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

TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-ranking


轩辕：度小满中文金融对话大模型

Measuring Massive Multitask Language Understanding

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters

Datasets for Large Language Models: A Comprehensive Survey

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Self-QA: Unsupervised Knowledge Guided Language Model Alignment

CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains


ICHEC Quantum natural language processing (QNLP) toolkit

Quantum Algorithms for Compositional Natural Language Processing

A hybrid classical-quantum workflow for natural language processing

Machine Learning: Science and Technology

A gentle introduction to Quantum Natural Language Processing


Automatic ICD coding benchmark based on the MIMIC dataset

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding

A Unified Review of Deep Learning for Automated Medical Coding


Deep Residual Learning for Image Recognition

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

Delving into Transferable Adversarial Examples and Black-box Attacks

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

UPSNet: A Unified Panoptic Segmentation Network

Do Adversarially Robust ImageNet Models Transfer Better?

Spatially Adaptive Computation Time for Residual Networks

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss


A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks

DARTS: Differentiable Architecture Search

Rethinking Differentiable Search for Mixed-Precision Neural Networks

PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices

IEEE Transactions on Emerging Topics in Computing

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference


Combining climdex.pcic and climpact @ UNSW

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

Journal of Geophysical Research: Atmospheres

A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices

International Conference on Data Technologies and Applications

Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Spatial Variation and Trend of Extreme Precipitation in West Africa and Teleconnections with Remote Indices

Future Heat Waves in Different European Capitals Based on Climate Change Indicators

International journal of environmental research and public health

Refining the Spatial Scale for Maize Crop Agro-Climatological Suitability Conditions in a Region with Complex Topography towards a Smart and Sustainable Agriculture. Case Study: Central Romania (Cluj County)

Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

Overcoming Data Scarcity in Earth Science

Statistical analysis of extreme weather events in the Diyala River basin, Iraq

Comparing climate change indices between a northern (arid) and a southern (humid) basin in Mexico during the last decades


Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination
  for Simulated-World Control

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

Behavioral Cloning via Search in Embedded Demonstration Dataset


CpG Transformer for imputation of single-cell methylomes

DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

CaMelia: imputation in single-cell methylomes based on local similarities between cells

Application of deep learning in cancer epigenetics through DNA methylation analysis


Empirical wave runup models implemented in Python


Prompt-to-Prompt Image Editing with Cross Attention Control

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing

Continuous, Subject-Specific Attribute Control in T2I Models by
  Identifying Semantic Directions


PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

Rethinking the Inception Architecture for Computer Vision

Demystifying MMD GANs

Improved Precision and Recall Metric for Assessing Generative Models

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

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

On the Stability of Iterative Retraining of Generative Models on their own Data

Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Expressiveness Remarks for Denoising Diffusion Models and Samplers


Sign Language Segmentation with Temporal Convolutional Networks (ICASSP'21) and Sign Segmentation with Changepoint-Modulated Pseudo-Labelling (CVPRW'21)

Sign language segmentation with temporal convolutional networks

A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages


A computational method for inferring the cancer cell fraction of tumour structural variation from whole-genome sequencing data.

Tracking the origins and drivers of subclonal metastatic expansion in prostate cancer

Decoding human cancer with whole genome sequencing: a review of PCAWG Project studies published in February 2020

SVclone: inferring structural variant cancer cell fraction


mocca survey data base– i. Dissolution of tidally filling star clusters harbouring black hole subsystems

Monthly Notices of the Royal Astronomical Society

A supra-massive population of stellar-mass black holes in the globular cluster Palomar 5

Complete ejection of OB stars from very young star clusters and the formation of multiple populations

Monthly notices of the Royal Astronomical Society

Accelerated orbital decay of supermassive black hole binaries in merging nuclear star clusters

A MODEST review


Image Quality Framework

QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution

IQUAFLOW: A new framework to measure image quality


Official code for MatrixVT on BEVDepth.

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception


Python 3 support for the MS COCO caption evaluation tools

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Kosmos-2: Grounding Multimodal Large Language Models to the World

Language Is Not All You Need: Aligning Perception with Language Models

Chameleon: Mixed-Modal Early-Fusion Foundation Models

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)


The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration, Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty

The Pantheon+ analysis: Improving the redshifts and peculiar velocities of Type Ia supernovae used in cosmological analyses

Progress in direct measurements of the Hubble constant

Cosmic chronometers to calibrate the ladders and measure the curvature of the Universe. A model-independent study

The state of the dark energy equation of state circa 2023

The dipole of the Pantheon+SH0ES data

Investigating dark energy by electromagnetic frequency shifts

Model-independent measurement of cosmic curvature with the latest H(z) and SNe Ia data: A comprehensive investigation

The tension in the absolute magnitude of Type Ia supernovae

Model-agnostic assessment of dark energy after DESI DR1 BAO


Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

Unlocking the black box of CNNs: Visualising the decision-making process with PRISM

PRISM: Principal Image Sections Mapping

TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization


Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org

TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data

PREDICTIVE INTELLIGENCE IN MEDICINE (PRIME 2019)

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy


Tools for working with Maxent in R

Species distribution models throughout the invasion history of Palmer amaranth predict regions at risk of future invasion and reveal challenges with modeling rapidly shifting geographic ranges

Macro-Morphological and Ecological Variation in Rosa sericea Complex


Query Generation for Question Answering over Knowledge Bases

IQA: Interactive query construction in semantic question answering systems

Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data

Deep Query Ranking for Question Answering over Knowledge Bases

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT III


Code for FOCAL Paper Published at ICLR 2021

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Generalized Decision Transformer for Offline Hindsight Information Matching

Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation


记录GitHub热门仓库，每小时更新，按天归档。

High-Resolution Image Synthesis with Latent Diffusion Models

Masked Autoencoders Are Scalable Vision Learners

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

You Only Learn One Representation: Unified Network for Multiple Tasks

DiffusionDet: Diffusion Model for Object Detection


This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion

DiffVoice: Text-to-Speech with Latent Diffusion

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

StreamVC: Real-Time Low-Latency Voice Conversion


goben is a golang tool to measure TCP/UDP transport layer throughput between hosts.

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

Artificial Intelligence Control Logic in Next-Generation Programmable Networks


Data sets from subject/item type studies in Psychology and Linguistics

Parsimonious Mixed Models

Statistical Methods for Linguistic Research: Foundational Ideas – Part I

The cave of Shadows. Addressing the human factor with generalized additive mixed models

Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

That’s not quite it: An experimental investigation of (non‑)exhaustivity in clefts

Tracking your emotions: An eye-tracking study on reader's engagement with perspective during text comprehension.

Quarterly journal of experimental psychology (2006)

Production of prosodic cues in coordinate name sequences addressing varying interlocutors

Laboratory Phonology: Journal of the Association for Laboratory Phonology

Remember they were emotional - Effects of emotional qualifiers during sentence processing


A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark

An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems

Self-supervised visual learning in the low-data regime: a comparative
  evaluation


A library for working with phylogenetic and population genetic data.

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples

Hyperdiverse archaea near life limits at the polyextreme geothermal Dallol area

Methods for automatic reference trees and multilevel phylogenetic placement

Genome-wide protein phylogenies for four African cichlid species

Gene Similarity Networks Unveil a Potential Novel Unicellular Group Closely Related to Animals from the Tara Oceans Expedition


Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

RLSbench: Domain Adaptation Under Relaxed Label Shift

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts

Continuous Invariance Learning


Evaluation framework for oncology foundation models (FMs)

Emerging Properties in Self-Supervised Vision Transformers

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

A General-Purpose Self-Supervised Model for Computational Pathology

Towards Large-Scale Training of Pathology Foundation Models


An R-based interface for loom files

Massively parallel base editing to map variant effects in human hematopoiesis

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

Representing and extracting knowledge from single cell data


TensorFlow/Keras implementation of "Universal Style Transfer via Feature Transforms" from https://arxiv.org/abs/1705.08086

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Correlation Alignment for Unsupervised Domain Adaptation

Fast Patch-based Style Transfer of Arbitrary Style

Neural Comic Style Transfer: Case Study


Deep learning approaches for statistical downscaling in climate

Configuration and intercomparison of deep learning neural models for statistical downscaling


Efficient parallel quantum chemistry DMRG in MPO formalism

Block2: A comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond.

A comparison between the one- and two-step spin-orbit coupling approaches based on the ab initio Density Matrix Renormalization Group

Density Matrix Renormalization Group for Transcorrelated Hamiltonians: Ground and Excited States in ab initio Systems


scripts for estimating bacteria replication rates based on population genome copy number variation

Measurement of bacterial replication rates in microbial communities

Identical bacterial populations colonize premature infant gut, skin, and oral microbiomes and exhibit different in situ growth rates

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

The Water Microbiome Through a Pilot Scale Advanced Treatment Facility for Direct Potable Reuse

Hospitalized Premature Infants Are Colonized by Related Bacterial Strains with Distinct Proteomic Profiles

The two-component system WalKR provides an essential link between cell wall homeostasis and DNA replication in Staphylococcus aureus

In Situ Replication Rates for Uncultivated Bacteria in Microbial Communities

Circular metagenome-assembled genome of Candidatus Patescibacteria recovered from anaerobic digestion sludge


Deep Recommenders

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Real-time Personalization using Embeddings for Search Ranking at Airbnb

Sampling-bias-corrected neural modeling for large corpus item recommendations

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation

International Conference on Information and Knowledge Management


Normalizing flows in PyTorch

Masked Autoregressive Flow for Density Estimation

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Neural Spline Flows

Neural Autoregressive Flows

Normalizing Flows on Tori and Spheres

Unconstrained Monotonic Neural Networks

Sum-of-Squares Polynomial Flow

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows

Structured Neural Networks for Density Estimation and Causal Inference

Joint Identifiability of Cross-Domain Recommendation via Hierarchical
  Subspace Disentanglement


Computer algebra package for quantum mechanics and photonic quantum networks

Efficient optimization of state preparation in quantum networks using quantum trajectories

Coherent LQG Control, Free-Carrier Oscillations, Optical Ising Machines and Pulsed OPO Dynamics


an automated river analysis and mapping engine


Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

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

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences

Construction of continuously expandable single-cell atlases through integration of heterogeneous datasets in a generalized cell-embedding space


Performance Analysis Tool

The impact of columnar file formats on SQL‐on‐hadoop engine performance: A study on ORC and Parquet

Concurrency and Computation: Practice and Experience

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention

Evaluating Hive and Spark SQL with BigBench


Formatted datasets for Machine Learning With R by Brett Lantz

Utility and Privacy Assessments of Synthetic Data for Regression Tasks

Zenodo (CERN European Organization for Nuclear Research)

Selective Regression Under Fairness Criteria

Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine

An implicit function learning approach for parametric modal regression

Using sequential statistical tests for efficient hyperparameter tuning


This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

Secure quantum computing for healthcare sector: A short analysis

Quintuple: a Python 5-qubit quantum computer simulator to facilitate cloud quantum computing

Quintuple: A Tool for Introducing Quantum Computing Into the Classroom


The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


Neural question generation using transformers

Synthetic QA Corpora Generation with Roundtrip Consistency

Simplifying Paragraph-level Question Generation via Transformer Language Models

All You May Need for VQA are Image Captions

Improving Biomedical Information Retrieval with Neural Retrievers

Data Augmentation for Biomedical Factoid Question Answering

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges

Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering


A Multimodal Audio Sheet Music Dataset

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Transactions of the International Society for Music Information Retrieval

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval


Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Decoupling Representation and Classifier for Long-Tailed Recognition

Instance-Conditioned GAN

To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions

Cyclical Focal Loss

Decoupled Training for Long-Tailed Classification With Stochastic Representations


[EMNLP'21] Visual News: Benchmark and Challenges in News Image Captioning

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

Visual Named Entity Linking: A New Dataset and A Baseline


Multimodal Unsupervised Image-to-Image Translation

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

StyleGAN2 Distillation for Feed-forward Image Manipulation

Positional Normalization

The Spatially-Correlative Loss for Various Image Translation Tasks

Towards Instance-level Image-to-Image Translation

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

Neural Optimal Transport

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

Adversarial Self-Defense for Cycle-Consistent GANs


Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Identifying and Solving Conditional Image Leakage in Image-to-Video
  Diffusion Model

Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models


Source  code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)

Dual Graph Convolutional Network for Semantic Segmentation

Global Aggregation then Local Distribution in Fully Convolutional Networks

Global Aggregation Then Local Distribution for Scene Parsing

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


State-of-the-art metric for Natural Language Generation

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

QuestEval: Summarization Asks for Fact-based Evaluation

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Rethinking Automatic Evaluation in Sentence Simplification

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization

Leveraging Summary Guidance on Medical Report Summarization

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework


A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Scenic: a language for scenario specification and scene generation

Programming Language Design and Implementation

A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception

Scenic: a language for scenario specification and data generation

Learning to Map Vehicles into Bird's Eye View

Paracosm: A Language and Tool for Testing Autonomous Driving Systems

Gradient-free Policy Architecture Search and Adaptation


Large-Scale Multi-Label Text Classification on EU Legislation

A Survey on Text Classification: From Shallow to Deep Learning

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels


Framework to imitate writing styles using deep learning

Densely Connected Convolutional Networks

WaveNet: A Generative Model for Raw Audio

Convolutional Sequence to Sequence Learning

One weird trick for parallelizing convolutional neural networks


PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious MS Office documents.

Machine Learning Aided Static Malware Analysis: A Survey and Tutorial

Malware triage for early identification of Advanced Persistent Threat activities

Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

Analysis of Machine Learning Approaches to Packing Detection

Experimental Toolkit for Manipulating Executable Packing


Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

FoodSAM: Any Food Segmentation

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes

Panoptic Perception: A Novel Task and Fine-Grained Dataset for Universal Remote Sensing Image Interpretation

SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles

EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion


Pytorch framework can easily implement srcnn algorithm with excellent performance

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

Image Super-Resolution Using Deep Convolutional Networks


Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Essentially No Barriers in Neural Network Energy Landscape

Large Scale Structure of Neural Network Loss Landscapes

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling


A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Beyond Exponentially Discounted Sum: Automatic Learning of Return Function

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

Learning to Shape Rewards Using a Game of Two Partners

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

Thompson Sampling with Diffusion Generative Prior

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction

Policy Learning with a Language Bottleneck


Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes

GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes

Manifold Topology Divergence: a Framework for Comparing Data Manifolds

Topological data analysis of black hole images

Topological Data Analysis in Cardiovascular Signals: An Overview


Software that can perform photorealistic style transfer without the need of any post-processing steps.

Deep Photo Style Transfer

A Closed-form Solution to Photorealistic Image Stylization

Photorealistic Style Transfer via Wavelet Transforms

Diffusion-based Image Translation using Disentangled Style and Content Representation

Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer

On the Road to Online Adaptation for Semantic Image Segmentation

DeepObjStyle: Deep Object-based Photo Style Transfer

DILIE: Deep Internal Learning for Image Enhancement


SOLECTRUS is a smart photovoltaic dashboard that shows your energy production and usage. It also calculates costs and savings, helping you get the most out of your solar system.


Code repository for Convolutional Pose Machines, CVPR'16

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Convolutional Pose Machines

Cognitive Deep Machine Can Train Itself


Implementation of Graph Auto-Encoders in TensorFlow

Modeling Relational Data with Graph Convolutional Networks

Variational Graph Auto-Encoders

Deep Learning on Graphs: A Survey

Graph Self-Supervised Learning: A Survey

Graph embedding on biomedical networks: methods, applications and evaluations

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

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

Graph-based Semi-supervised Learning: A Comprehensive Review

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks


llmstep: [L]LM proofstep suggestions in Lean 4.

Llemma: An Open Language Model For Mathematics

Proof Artifact Co-training for Theorem Proving with Language Models

LLMSTEP: LLM proofstep suggestions in Lean

Mathematical Language Models: A Survey


PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Holistic Evaluation of Text-To-Image Models

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation

Visual Programming for Text-to-Image Generation and Evaluation

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
  Determines Multimodal Model Performance

Survey of Social Bias in Vision-Language Models

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget