Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Face Recognition: Too Bias, or Not Too Bias?

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment

Balancing Biases and Preserving Privacy on Balanced Faces in the Wild

Fair Face Verification by Using Non-Sensitive Soft-Biometric Attributes

Automatic Face Understanding: Recognizing Families in Photos


Implementation of corrplot using ggplot2

Transcriptome Analysis of Needle and Root of Pinus Massoniana in Response to Continuous Drought Stress

Evaluation of Green Super Rice Lines for Agronomic and Physiological Traits under Salinity Stress

Do We Need to Breed for Regional Adaptation in Soybean?—Evaluation of Genotype-by-Location Interaction and Trait Stability of Soybean in Germany


“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Factorizing personalized Markov chains for next-basket recommendation

Time Interval Aware Self-Attention for Sequential Recommendation

Contrastive Learning for Sequential Recommendation

Controllable Multi-Interest Framework for Recommendation

Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

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

DiffuRec: A Diffusion Model for Sequential Recommendation

Selective Fairness in Recommendation via Prompts

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence

Neighborhood-based Hard Negative Mining for Sequential Recommendation

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


A Bayesian model for compositional single-cell data analysis

scCODA is a Bayesian model for compositional single-cell data analysis

Glutaminase inhibition in combination with azacytidine in myelodysplastic syndromes: Clinical efficacy and correlative analyses


Science-parse version 2

The Semantic Scholar Open Data Platform

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models

High-Precision Extraction of Emerging Concepts from Scientific Literature

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

Acknowledgement Entity Recognition in CORD-19 Papers

Empirical Methods in Natural Language Processing

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


A tool to construct repeats directly from raw reads

REPdenovo: Inferring De Novo Repeat Motifs from Short Sequence Reads

Sequencing and Functional Annotation of the Whole Genome of Shiraia bambusicola

An improved approach for reconstructing consensus repeats from short sequence reads


Functions to support the ICES Transparent Assessment Framework


Keras implementation of ViT (Vision Transformer)

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

Investigating the Vision Transformer Model for Image Retrieval Tasks

ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos

Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

It's DONE: Direct ONE-shot learning with quantile weight imprinting

2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips


Japanese to romaji converter in Python

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

fugashi, a Tool for Tokenizing Japanese in Python

Direct and indirect evidence of compression of word lengths. Zipf's law of abbreviation revisited


Python package for numerical derivatives and partial differential equations in any number of dimensions.

BubbleDet: a Python package to compute functional determinants for bubble nucleation

Higher-order stochastic integration through cubic stratification

An analysis of parameter compression and full-modeling techniques with
  Velocileptors for DESI 2024 and beyond

Strategies for Pretraining Neural Operators

Quantum computing using floating electrons on cryogenic substrates: Potential and challenges

tinie – a software package for electronic transport through two-dimensional cavities in a magnetic field

Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical
  Systems


BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

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

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


JSON Tables for CMOR3 to create CMIP6 dataset

Simulations for CMIP6 with the AWI climate model AWI-CM-1-1

Journal of Advances in Modeling Earth Systems

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

CERESMIP: a climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance

Evaluation of native Earth system model output with ESMValTool v2.6.0


Tensor Train Toolbox

Tensor Train decomposition on TensorFlow (T3F)

Tensor-based algorithms for image classification

Tensor-based computation of metastable and coherent sets

tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format

Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs

Fredholm integral equations for function approximation and the training of neural networks

WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains.

Extraction of nonlinearity in neural networks with Koopman operator

Low-rank tensor decompositions of quantum circuits


Package for local graph clustering

Flow-Based Local Graph Clustering with Better Seed Set Inclusion

p-Norm Flow Diffusion for Local Graph Clustering

Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance

Targeted pandemic containment through identifying local contact network bottlenecks

A Short Introduction to Local Graph Clustering Methods and Software


URDF models of humans created to perform human robot interaction experiments.

Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics

Whole-Body Human Kinematics Estimation using Dynamical Inverse Kinematics and Contact-Aided Lie Group Kalman Filter

SAQIEL: Ultra-Light and Safe Manipulator With Passive 3D Wire Alignment Mechanism

Enabling Human-Robot Collaboration via Holistic Human Perception and Partner-Aware Control


CLIP implementation for Russian language

Learning Transferable Visual Models From Natural Language Supervision

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation


Software for decoding classical and quantum codes

Decoding algorithms for surface codes

Toward Low-latency Iterative Decoding of QLDPC Codes Under Circuit-Level
  Noise

Analog information decoding of bosonic quantum LDPC codes


A framework for smart contract verification in Coq

ConCert: A Smart Contract Certification Framework in Coq

Extracting Smart Contracts Tested and Verified in Coq

Extracting functional programs from Coq, in Coq

Finding smart contract vulnerabilities with ConCert's property-based testing framework


Library first implementation of the D3 dispersion correction

Long-range corrected fragment molecular orbital density functional tight-binding method for excited states in large molecular systems

CO Adsorption on the Surface of MgO from Periodic Coupled-Cluster Theory with Local Natural Orbitals: Adding to the Consensus


Codes for supersymmetric lattice gauge theories

Parallel software for lattice N=4 supersymmetric Yang-Mills theory

Testing holography using lattice super-Yang-Mills theory on a 2-torus

Progress and prospects of lattice supersymmetry

Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018)

Results from lattice simulations of N=4 supersymmetric Yang--Mills

Proceedings of The 32nd International Symposium on Lattice Field Theory — PoS(LATTICE2014)

Latest results from lattice N=4 supersymmetric Yang--Mills

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

Three-dimensional super-Yang-Mills theory on the lattice and dual black branes

Markov Chain Monte Carlo for Dummies

Thermal phase structure of dimensionally reduced super-Yang--Mills

Lattice studies of supersymmetric gauge theories

Thermal phase structure of a supersymmetric matrix model

Proceedings of 37th International Symposium on Lattice Field Theory — PoS(LATTICE2019)


Atomistica is a library of interatomic potentials that is compatible with ASE and LAMMPS

Machine Learning a General-Purpose Interatomic Potential for Silicon

Screened empirical bond-order potentials for Si-C

Humidity-dependent lubrication of highly loaded contacts by graphite and a structural transition to turbostratic carbon

Solid-Phase Silicon Homoepitaxy via Shear-Induced Amorphization and Recrystallization

Comprehensive structural changes in nanoscale-deformed silicon modelled with an integrated atomic potential


AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

Waste detection in Pomerania: non-profit project for detecting waste in environment


Fast code for parallel or fan beam tomographic reconstruction

X-ray Tomography Applied to Electrochemical Devices and Electrocatalysis

Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches

Generative Plug and Play: Posterior Sampling for Inverse Problems

An Edge Alignment-based Orientation Selection Method for Neutron Tomography

Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems

tomoCAM: Fast Model-based Iterative Reconstruction via GPU Acceleration and Non-Uniform Fast Fourier Transforms

Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium


Python version of the SGP4 satellite position library

Wide-Scale Monitoring of Satellite Lifetimes: Pitfalls and a Benchmark Dataset

Pulsar and Magnetar Navigation with Fermi/GBM and GECAM

Generating Realistic Two-Line Elements for Notional Space Vehicles and Constellations


A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

USB: A Unified Semi-supervised Learning Benchmark for Classification

Rethinking Semi-supervised Learning with Language Models

Don't fear the unlabelled: safe semi-supervised learning via simple debiasing

Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning

SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning


Pathfinding and search testbed/visualization suite. Current code is in PDB-refactor branch.

Multi-Agent Pathfinding with Continuous Time

Iterative Budgeted Exponential Search

Ultrafast Euclidean Shortest Path Computation Using Hub Labeling

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 10

Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks

Efficiently computing alternative paths in game maps


Framework to evaluate peformance of ROS 2

Message flow analysis with complex causal links for distributed ROS 2 systems

Impact of ROS 2 Node Composition in Robotic Systems

Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving
  Software: An End-to-End Latency Evaluation


Simple simulation of single-cell RNA sequencing data

Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

splatPop: simulating population scale single-cell RNA sequencing data

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION

bioRxiv : the preprint server for biology


VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

VIP: Vortex Image Processing package for high-contrast direct imaging

Near-infrared scattered light properties of the HR4796A dust ring: a measured scattering phase function from 13.6deg to 166.6deg

Discovery of a low-mass companion inside the debris ring surrounding the F5V star HD 206893

VLT/SPHERE robust astrometry of the HR8799 planets at milliarcsecond-level accuracy Orbital architecture analysis with PyAstrOFit

Deep exploration of Epsilon Eridani with Keck Ms-band vortex coronagraphy and radial velocities: mass and orbital parameters of the giant exoplanet

Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences

Precise radial velocities of giant stars IX. HD 59686 Ab: a massive circumstellar planet orbiting a giant star in a ~13.6 au eccentric binary system

Separating extended disc features from the protoplanet in PDS 70 using VLT/SINFONI

Monthly notices of the Royal Astronomical Society

Are the spiral arms in the MWC 758 protoplanetary disc driven by a companion inside the cavity?

Monthly Notices of the Royal Astronomical Society

STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise


High-order Lagrangian Hydrodynamics Miniapp

MFEM: a modular finite element methods library

Computers and Mathematics with Applications

Reduced order models for Lagrangian hydrodynamics

Non-Conforming Mesh Refinement for High-Order Finite Elements

Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition

GPU Algorithms for Efficient Exascale Discretizations

A quadratic programming flux correction method for high-order DG discretizations of SN transport

Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA

High-performance finite elements with MFEM

Weak Boundary Conditions for Lagrangian Shock Hydrodynamics: A High-Order Finite Element Implementation on Curved Boundaries

A High-Order Shifted Interface Method for Lagrangian Shock Hydrodynamics


ngtcp2 project is an effort to implement IETF QUIC protocol

Implementation and Analysis of QUIC for MQTT

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

QUIC Throughput and Fairness over Dual Connectivity

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications

A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations

Proceedings of the 18th International Conference on Availability, Reliability and Security


Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

Learning Correspondence from the Cycle-Consistency of Time

Unsupervised Learning of Dense Visual Representations


Code for the paper "Generative Adversarial Imitation Learning"

Deep Reinforcement Learning: An Overview

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Risk-Sensitive Generative Adversarial Imitation Learning

imitation: Clean Imitation Learning Implementations

Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Imitation learning by state-only distribution matching


Reasoning Over Knowledge Graph Paths for Recommendation

Explainable Reasoning over Knowledge Graphs for Recommendation

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

Learning Triple Embeddings from Knowledge Graphs

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Rule-Guided Graph Neural Networks for Recommender Systems


Fairness in Machine Learning: A Survey

Fairness is not static: deeper understanding of long term fairness via simulation studies

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Algorithmic fairness datasets: the story so far

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

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


Pytorch implementation of CosFace

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Practical No-box Adversarial Attacks against DNNs

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Robust Attacks on Deep Learning Face Recognition in the Physical World


ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Pyramid Scene Parsing Network

Pruning Filters for Efficient ConvNets

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup

PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON MULTIMEDIA CONTENT ANALYSIS IN SPORTS, MMSPORTS 2019


Deep Residual Learning for Image Recognition

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

ParaTransCNN: Parallelized TransCNN Encoder for Medical Image
  Segmentation


Soil-Water-Balance: A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge.


[CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

Deep Hough Voting for 3D Object Detection in Point Clouds

Compact Generalized Non-local Network


KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning

A Survey of Knowledge-enhanced Text Generation

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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


Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.

A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine

A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows

International Journal of Multiphase Flow

Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

Computing foaming flows across scales: From breaking waves to microfluidics

Bubbles in turbulent flows: Data-driven, kinematic models with history terms

Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters

Proceedings of the Platform for Advanced Scientific Computing Conference

A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids

Breaking waves: To foam or not to foam?


ScousePy

Molecular gas kinematics within the central 250 pc of the Milky Way

Monthly Notices of the RAS (0035-8711) - 'The Brick' is not a brick: A comprehensive study of the structure and dynamics of the Central Molecular Zone cloud G0.253+0.016

ATOMS: ALMA Three-millimeter Observations of Massive Star-forming regions – XV. Steady accretion from global collapse to core feeding in massive hub-filament system SDC335

Decomposing magnetic fields in three dimensions over the central molecular zone

CMZoom III: Spectral line data release

Filamentary mass accretion towards the high-mass protobinary system
  G11.92-0.61 MM2


DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network

Congestion Analysis of Transport Layer in a Multicell 5G DL Communication System


The StarCraft Multi-Agent Challenge

Deep Coordination Graphs

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent
  Reinforcement Learning


Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Learning the Best Pooling Strategy for Visual Semantic Embedding


Library of swarm optimization algorithms.

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems

Comparing Single-Objective Optimization Protocols for Calibrating the Birds Nest Aquifer Model—A Problem Having Multiple Local Optima

International journal of environmental research and public health

Introducing Ulimisana Optimization Algorithm Based on Ubuntu Philosophy


Official Implementation of "A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining""

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

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


Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR'17)

Digital watermarking for deep neural networks

International Journal of Multimedia Information Retrieval

Performance Comparison of Contemporary DNN Watermarking Techniques

Deep Intellectual Property Protection: A Survey

Cracking White-box DNN Watermarks via Invariant Neuron Transforms


Tablet is a lightweight, high-performance graphical viewer for next generation sequence assemblies and alignments.

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Phenotypic and genetic alterations of Burkholderia pseudomallei in patients during relapse and persistent infections

Generation and Characterization of Stable Small Colony Variants of USA300 Staphylococcus aureus in RAW 264.7 Murine Macrophages


Repository for MolFormer

Large-scale chemical language representations capture molecular structure and properties

Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction


Research Object manager command line tool(s) and web service

Using a suite of ontologies for preserving workflow-centric research objects

Sciunits: Reusable Research Objects

Structuring research methods and data with the research object model: genomics workflows as a case study

The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web

Utilizing Provenance in Reusable Research Objects


Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

Local Augmentation for Graph Neural Networks

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Data Augmentation for Graph Data: Recent Advancements

Graph Attention Networks with LSTM-based Path Reweighting.

Customizing Graph Neural Networks using Path Reweighting

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation


Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

A Neural Approach to Automated Essay Scoring

Empirical Methods in Natural Language Processing

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

A Trait-based Deep Learning Automated Essay Scoring System with Adaptive Feedback

International Journal of Advanced Computer Science and Applications

Fine-grained essay scoring of a complex writing task for native speakers

Workshop on Innovative Use of NLP for Building Educational Applications

Neural Multi-task Learning in Automated Assessment

Thank “Goodness”! A Way to Measure Style in Student Essays

NATURAL LANGUAGE PROCESSING TECHNIQUES FOR EDUCATIONAL APPLICATIONS


Python skymaps based on basemap

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

The Dark Energy Survey Data Release 2

The Astrophysical Journal Supplement Series

The DECam Local Volume Exploration Survey: Overview and First Data Release

The DECam Local Volume Exploration Survey Data Release 2

The Dark Energy Survey Six-Year Calibration Star Catalog


Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

Counterfactual Data Augmentation using Locally Factored Dynamics

MoCoDA: Model-based Counterfactual Data Augmentation

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

A Survey on Causal Reinforcement Learning

Bilinear value networks

Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning


Creative Commons Attribution Share Alike 4.0 International

16 Synchronized Inputs USB (UAC2) Sound Card Based on XMOS xCORE-200

ODAS: Open embeddeD Audition System

3D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAM

Ego-noise reduction of a mobile robot using noise spatial covariance matrix learning and minimum variance distortionless response


Main repository for the Logchain as a Service platform

Logchain: Blockchain-Assisted Log Storage

PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD)

Immutable Log Storage as a Service on Private and Public Blockchains

Immutable Log Storage as a Service

International Conference on Software Engineering


Public repo for Augmented Multiscale Deep InfoMax representation learning

Bootstrap your own latent: A new approach to self-supervised Learning

Learning Representations by Maximizing Mutual Information Across Views

Data-Efficient Image Recognition with Contrastive Predictive Coding

Revisiting Self-Supervised Visual Representation Learning

Fast AutoAugment

Neural Methods for Point-wise Dependency Estimation


Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support


A python package for modeling and analysing transit light-curves.

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

A NEW APPROACH TO ANALYZING HST SPATIAL SCANS: THE TRANSMISSION SPECTRUM OF HD 209458 b

High-precision Stellar Limb-darkening in Exoplanetary Transits

The ExoTETHyS Package: Tools for Exoplanetary Transits around Host Stars

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

The Hubble WFC3 Emission Spectrum of the Extremely Hot Jupiter KELT-9b

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

Near-IR Transmission Spectrum of HAT-P-32b using HST/WFC3


Analytic sampler compiler for combinatorial systems

Polynomial tuning of multiparametric combinatorial samplers

On Uniquely Closable and Uniquely Typable Skeletons of Lambda Terms

Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers

How to generate random lambda terms?


Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

The eROSITA Final Equatorial-Depth Survey (eFEDS): The AGN Catalogue and its X-ray Spectral Properties

The Variable and Non-variable X-Ray Absorbers in Compton-thin Type II Active Galactic Nuclei

Investigating ULX accretion flows and cyclotron resonance in NGC 300 ULX1

Do stellar-mass and super-massive black holes have similar dining habits?

First X-Ray Polarization Measurement Confirms the Low Black Hole Spin in LMC X-3

Statistical Aspects of X-ray Spectral Analysis

X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei


QE-GIPAW for Quantum-Espresso (official repository)

Probing the Coherence of Solid-State Qubits at Avoided Crossings

Substrate-controlled dynamics of spin qubits in low dimensional van der Waals materials

Depth-dependent study of time-reversal symmetry-breaking in the kagome
  superconductor AV_3Sb_5


Assign taxonomic ranks based on evolutionary divergence.

A phylogenomic and ecological analysis of the globally abundant Marine Group II archaea (Ca. Poseidoniales ord. nov.)

Selection of representative genomes for 24,706 bacterial and archaeal species clusters provide a complete genome-based taxonomy

Recoding of stop codons expands the metabolic potential of two novel Asgardarchaeota lineages

A genome-scale phylogeny of Fungi; insights into early evolution, radiations, and the relationship between taxonomy and phylogeny

Printing Microbial Dark Matter: Using Single Cell Dispensing and Genomics to Investigate the Patescibacteria/Candidate Phyla Radiation

A long-awaited taxogenomic investigation of the family Halomonadaceae

Genomic insights into the Archaea inhabiting an Australian radioactive legacy site

Taxonomic Re-Classification and Expansion of the Phylum Chloroflexota Based on over 5000 Genomes and Metagenome-Assembled Genomes

In Situ Genomics and Transcriptomics of SAR202 Subclusters Revealed Subtle Distinct Activities in Deep-Sea Water


A TensorFlow implementation of the Differentiable Neural Computer.

Deep Reinforcement Learning: An Overview

Implementing Neural Turing Machines

L4: Practical loss-based stepsize adaptation for deep learning

Training Neural Networks for and by Interpolation

Self-Attentive Associative Memory

Learning to Remember More with Less Memorization

Text normalization using memory augmented neural networks

Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning

Multigrid Neural Memory

Memory and attention in deep learning


Working with eBird data in R


Reinforcement learning with unsupervised auxiliary tasks

Reinforcement Learning with Unsupervised Auxiliary Tasks

Crawling in Rogue's dungeons with (partitioned) A3C

Attend Before you Act: Leveraging human visual attention for continual learning

Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework

Towards designing a generic and comprehensive deep reinforcement learning framework


A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

Simple Recurrent Units for Highly Parallelizable Recurrence

Pathologies of Neural Models Make Interpretations Difficult

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Meeting of the Association for Computational Linguistics

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum

Towards Inference-Oriented Reading Comprehension: ParallelQA

FastFusionNet: New State-of-the-Art for DAWNBench SQuAD

Assessing Back-Translation as a Corpus Generation Strategy for non-English Tasks: A Study in Reading Comprehension and Word Sense Disambiguation


A collection of offline reinforcement learning algorithms.

MOPO: Model-based Offline Policy Optimization

COMBO: Conservative Offline Model-Based Policy Optimization

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning

State Regularized Policy Optimization on Data with Dynamics Shift

Efficient Offline Policy Optimization with a Learned Model


Top 1 solution of Chexpert

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

Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

Technical Challenges for Training Fair Neural Networks


Hopfield Networks is All You Need

Attention-based Deep Multiple Instance Learning

Hopfield Networks is All You Need

Selected aspects of complex, hypercomplex and fuzzy neural networks


Language Models are Multilingual Chain-of-Thought Reasoners

Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold

Writing System and Speaker Metadata for 2,800+ Language Varieties

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

TaTa: A Multilingual Table-to-Text Dataset for African Languages

GlotScript: A Resource and Tool for Low Resource Writing System Identification

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Database resources of the National Center for Biotechnology Information

Evaluating Protein Transfer Learning with TAPE

Critical assessment of methods of protein structure prediction (CASP)—Round XII

Proteins: Structure, Function, and Bioinformatics


Code, Models and Datasets for OpenViDial Dataset

OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review


Named Entity Recognition Tool

Neural Architectures for Named Entity Recognition

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Deep learning with word embeddings improves biomedical named entity recognition

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

Empower Sequence Labeling with Task-Aware Neural Language Model

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

Entity Recognition at First Sight: Improving NER with Eye Movement Information

Advancing NLP with Cognitive Language Processing Signals

Location reference recognition from texts: A survey and comparison


A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Modeling Topical Relevance for Multi-Turn Dialogue Generation

Measuring Semantic Coherence of a Conversation

Conditional Text Generation for Harmonious Human-Machine Interaction

Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus

Knowledge-based Conversational Search

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception

Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval

Recent Progress in Conversational AI

Meta-Context Transformers for Domain-Specific Response Generation


Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.

Standard Model Theory for the FCC-ee Tera-Z stage

Renormalization of symmetry restricted spin foam models with curvature in the asymptotic regime

Emergence of spacetime in a restricted spin-foam model

Numerical evaluation of spin foam amplitudes beyond simplices

Zenodo (CERN European Organization for Nuclear Research)

MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)


Batch balanced KNN

BBKNN: fast batch alignment of single cell transcriptomes

Mapping systemic lupus erythematosus heterogeneity at the single-cell level

Computational methods for the integrative analysis of single-cell data

Fast Batch Alignment of Single Cell Transcriptomes Unifies Multiple Mouse Cell Atlases into an Integrated Landscape

A novel approach to remove the batch effect of single-cell data

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

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

International journal of molecular sciences

Expression quantitative trait locus studies in the era of single-cell omics


A python utility library for interacting with NASA JPL's PO.DAAC


Open-Unmix - Music Source Separation for PyTorch

Open-Unmix - A Reference Implementation for Music Source Separation

Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation

On loss functions and evaluation metrics for music source separation

Benchmarks and leaderboards for sound demixing tasks

Avoiding an AI-imposed Taylor's Version of all music history


Rainbow: Combining Improvements in Deep Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

When to use parametric models in reinforcement learning?

State Entropy Maximization with Random Encoders for Efficient Exploration

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Ensemble Bootstrapping for Q-Learning

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Resetting the Optimizer in Deep RL: An Empirical Study

Adversary Agnostic Robust Deep Reinforcement Learning


[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Information-Theoretic GAN Compression with Variational Energy-based Model


A scikit-learn compatible library for graph kernels

GraKeL: A Graph Kernel Library in Python

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

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

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

State of the Art and Potentialities of Graph-level Learning

Distance metric learning for graph structured data

Fast Topological Clustering with Wasserstein Distance


[NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents

Instruction Tuning for Large Language Models: A Survey

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Octavius: Mitigating Task Interference in MLLMs via MoE

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder

Assessment of Multimodal Large Language Models in Alignment with Human
  Values

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models


Creative Commons Attribution 4.0 International

PLIC Specification

CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers

Towards a RISC-V Open Platform for Next-generation Automotive ECUs

Mediterranean Conference on Embedded Computing


Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands


A python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data

A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021


Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format

Choosing the right molecular machine learning potential

Machine learning based energy-free structure predictions of molecules, transition states, and solids

Redox-Induced Gating of the Exchange Interactions in a Single Organic Diradical

Tailoring Hot Exciton Dynamics in 2D Hybrid Perovskites through Cation Modification.

cgbind: A Python Module and Web App for Automated Metallocage Construction and Host-Guest Characterization

Journal of Chemical Information and Modeling

A highly unsaturated six-vertex amido-substituted silicon cluster

Photo- and Collision-Induced Isomerization of a Charge-Tagged Norbornadiene–Quadricyclane System

The journal of physical chemistry letters

CATS (Coordinates of Atoms by Taylor Series): protein design with backbone flexibility in all locally feasible directions

SILVR: Guided Diffusion for Molecule Generation

Alchemical geometry relaxation


Distances and representations of persistence diagrams

Persistence Images: A Stable Vector Representation of Persistent Homology

Persistence Diagrams with Linear Machine Learning Models

On the stability of persistent entropy and new summary functions for topological data analysis

Computing a Stable Distance on Merge Trees

IEEE transactions on visualization and computer graphics

Machine learning assisted high-throughput screening of zeolites for the selective adsorption of xylene isomers


The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.

RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor

A systematic assessment of current genome-scale metabolic reconstruction tools

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species

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

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma


Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps

A Survey of Practical Formal Methods for Security

Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions

Asia-Pacific Computer Systems Architecture Conference

Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny

A Multi-Tier Security Analysis of Official Car Management Apps for Android

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite


Operator Discretization Library  https://odlgroup.github.io/odl/

Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

Deep Bayesian Inversion

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

Learned convex regularizers for inverse problems

Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport

NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Learning to solve inverse problems using Wasserstein loss


PlaidML is a framework for making deep learning work everywhere.

Deep metabolome: Applications of deep learning in metabolomics

Computational and structural biotechnology journal

Stripe: Tensor Compilation via the Nested Polyhedral Model

Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach


An open-source framework for machine learning and other computations on decentralized data.

Federated Learning for Mobile Keyboard Prediction

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

Can You Really Backdoor Federated Learning?

Trustworthy AI: A Computational Perspective

Generative Models for Effective ML on Private, Decentralized Datasets

When the Curious Abandon Honesty: Federated Learning Is Not Private

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Federated Heavy Hitters Discovery with Differential Privacy

Deep learning in electron microscopy

Machine Learning: Science and Technology

FedLab: A Flexible Federated Learning Framework


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

MAIRA-1: A specialised large multimodal model for radiology report generation

MAIRA-2: Grounded Radiology Report Generation


Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

Square Attack: a query-efficient black-box adversarial attack via random search

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Projection & Probability-Driven Black-Box Attack

Black-box Adversarial Attacks with Bayesian Optimization

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks


Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

Featurized Density Ratio Estimation

Imitation with Neural Density Models

Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization

Addressing Distribution Shift in Time Series Forecasting with Instance
  Normalization Flows


Transformer based on a variant of attention that is linear complexity in respect to sequence length

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

GLU Variants Improve Transformer

Efficient Attention: Attention with Linear Complexities

Choose a Transformer: Fourier or Galerkin

Convolutional Xformers for Vision

BIOT: Cross-data Biosignal Learning in the Wild


A general-purpose BFT state machine replication library with modularity and simplicity, suitable for building hybrid consensus cryptocurrencies.

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

Basil: Breaking up BFT with ACID (transactions)

Symposium on Operating Systems Principles

Dispel: Byzantine SMR with Distributed Pipelining

FnF-BFT: Exploring Performance Limits of BFT Protocols

[Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks

Dissecting the Performance of Chained-BFT

Mir-BFT: High-Throughput Robust BFT for Decentralized Networks

Be Aware of Your Leaders

IA-CCF: Individual Accountability for Permissioned Ledgers

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems


Automatic colorizaton of grayscale images using Deep Learning

Learning Representations for Automatic Colorization

Image Colorization: A Survey and Dataset

Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning


Question Answering and Generation for Summarization

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

NewsQA: A Machine Comprehension Dataset

Bottom-Up Abstractive Summarization

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

HaRiM^+: Evaluating Summary Quality with Hallucination Risk


HDGI code

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Heterogeneous Deep Graph Infomax

HeMI: Multi-view Embedding in Heterogeneous Graphs


SPICE: Semantic Propositional Image Caption Evaluation

Improved Image Captioning via Policy Gradient optimization of SPIDEr

International Conference on Computer Vision

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations


Online optimisation tool for wind+solar+storage systems


(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Imitation Learning via Off-Policy Distribution Matching

IQ-Learn: Inverse soft-Q Learning for Imitation

A Ranking Game for Imitation Learning

CEIL: Generalized Contextual Imitation Learning

Proximal Point Imitation Learning

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

Coherent Soft Imitation Learning


Medical Image Segmentation using Squeeze-and-Expansion Transformers

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Few-Shot Domain Adaptation with Polymorphic Transformers

3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume


Jailbreaking Black Box Large Language Models in Twenty Queries

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes

Fast Adversarial Attacks on Language Models In One GPU Minute

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Protecting Your LLMs with Information Bottleneck

Enhancing the Capability and Robustness of Large Language Models through
  Reinforcement Learning-Driven Query Refinement


A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

Conformer: Convolution-augmented Transformer for Speech Recognition

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Long-Short Transformer: Efficient Transformers for Language and Vision

Fastformer: Additive Attention Can Be All You Need

One TTS Alignment to Rule Them All

DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations


This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.

MR-based synthetic CT generation using a deep convolutional neural network method

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

Medical image translation using an edge-guided generative adversarial network with global-to-local feature fusion

An Attentive-based Generative Model for Medical Image Synthesis

Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets


SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


Tools for viewing, analyzing, and processing multi-electrode array data.

MEA Viewer: A high-performance interactive application for visualizing electrophysiological data

Application of spike sorting algorithm to neuronal signals originated from boron doped diamond micro-electrode arrays.


Calculate biomass with allometric equations from the allodb package and ForestGEO data


Colocalization analysis of genetic association signals

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

DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits

Analyzing and Reconciling Colocalization and Transcriptome-wide Association Studies from the Perspective of Inferential Reproducibility

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

Transcriptome wide association studies: general framework and methods

Transcriptomic risk scores for attention deficit/hyperactivity disorder

Transcriptome-wide Association Study and eQTL colocalization identify potentially causal genes responsible for bone mineral density GWAS associations


Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

Isprs Journal of Photogrammetry and Remote Sensing

Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2

Remote Sensing Big Data Classification with High Performance Distributed Deep Learning

Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


Microsoft Azure Traces

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Splitwise: Efficient generative LLM inference using phase splitting

Wasserstein Adversarial Transformer for Cloud Workload Prediction

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Traffic generation for benchmarking data centre networks

Let's Trace It: Fine-Grained Serverless Benchmarking using Synchronous and Asynchronous Orchestrated Applications

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting

One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms

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


Constrained Nonnegative Matrix Factorization for microEndoscopic data

Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

A gut-to-brain signal of fluid osmolarity controls thirst satiation

Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors

Dorsal periaqueductal gray ensembles represent approach and avoidance states

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

Optogenetic frequency scrambling of hippocampal theta oscillations dissociates working memory retrieval from hippocampal spatiotemporal codes

A Hypothalamic Circuit Underlying the Dynamic Control of Social Homeostasis

bioRxiv : the preprint server for biology

Elucidating a locus coeruleus-dentate gyrus dopamine pathway for operant reinforcement

Population dynamics underlying associative learning in the dorsal and ventral hippocampus


This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

DAN: Deep Attention Neural Network for News Recommendation

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

End-to-end Alternating Optimization for Blind Super Resolution

End-to-End Alternating Optimization for Real-World Blind Super Resolution

International Journal of Computer Vision

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Kernelized Back-Projection Networks for Blind Super Resolution


A Python sandbox for decision making in dynamics

Delayed Impact of Fair Machine Learning

Strategic Classification

Performative Prediction


Non-parametric Entropy Estimation Toolbox

Efficient Estimation of Mutual Information for Strongly Dependent Variables

Precise excitation-inhibition balance controls gain and timing in the hippocampus

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic

Tensor networks and efficient descriptions of classical data

Doing the impossible: Why neural networks can be trained at all

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Sufficiency of a Gaussian power spectrum likelihood for accurate cosmology from upcoming weak lensing surveys

Monthly Notices of the Royal Astronomical Society

TESS Data for Asteroseismology (T’DA) Stellar Variability Classification Pipeline: Setup and Application to the Kepler Q9 Data

Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation

IEEE International Conference on Acoustics, Speech, and Signal Processing


whole genome MLST analysis

Population structure of community-acquired extended-spectrum beta-lactamase producing Escherichia coli and methicillin resistant Staphylococcus aureus in a French region showed no difference between urban and rural areas

Genome analysis of third-generation cephalosporin-resistant Escherichia coli and Salmonella species recovered from healthy and diseased food-producing animals in Europe


code for satellite system graphs

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

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

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

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

Tree-based Search Graph for Approximate Nearest Neighbor Search


Deep-learning top taggers or the end of QCD?

Reports of my demise are greatly exaggerated: N-subjettiness taggers take on jet images

Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective

Portraying Double Higgs at the Large Hadron Collider

Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019)

Neural ensemble decoding for topological quantum error-correcting codes

Boosted Top Quark Tagging and Polarization 2 Measurement using Machine Learning

Morphology of three-body quantum states from machine learning

Top quark physics in the Large Hadron Collider era

opp/ai: Optimistic Privacy-Preserving AI on Blockchain

End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning


The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization.

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets

Meta-connectomic analysis maps consistent, reproducible, and transcriptionally relevant functional connectome hubs in the human brain

Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

Exploring Nonlinear Dynamics In Brain Functionality Through Phase Portraits And Fuzzy Recurrence Plots

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies

Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning


PENMAN notation (e.g. AMR) in Python

AMR Parsing as Sequence-to-Graph Transduction

Penman: An Open-Source Library and Tool for AMR Graphs

Meeting of the Association for Computational Linguistics

Promoting Graph Awareness in Linearized Graph-to-Text Generation

AMR Normalization for Fairer Evaluation

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation


Avalanche fork adding RL support

Avalanche: an End-to-End Library for Continual Learning

Avalanche RL: a Continual Reinforcement Learning Library


Credici: Credal Inference for Causal Inference

Structural Causal Models Are (Solvable by) Credal Networks

Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources

Tractable Bounding of Counterfactual Queries by Knowledge Compilation

Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data

Efficient Computation of Counterfactual Bounds


MiniFE Finite Element Mini-Application

Kokkos 3: Programming Model Extensions for the Exascale Era

IEEE Transactions on Parallel and Distributed Systems

Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU


Personal diploid genome creation and coordinate conversion

Genomes of the Mouse Collaborative Cross

HELLS and PRDM9 form a pioneer complex to open chromatin at meiotic recombination hot spots

Diversification of small RNA pathways underlies germline RNA interference incompetence in wild Caenorhabditis elegans strains

Beyond the reference: gene expression variation and transcriptional response to RNA interference in Caenorhabditis elegans

Beyond the reference: gene expression variation and transcriptional response to RNAi in C. elegans.


Soft Active Matter on Surfaces

Active Vertex Model for cell-resolution description of epithelial tissue mechanics

Dense active matter model of motion patterns in confluent cell monolayers

Tracking collective cell motion by topological data analysis

Coordinated tractions increase the size of a collectively moving pack in a cell monolayer

Coarse-graining the vertex model and its response to shear

Discriminating between individual-based models of collective cell motion in a benchmark flow geometry using standardised spatiotemporal patterns


Chromosome-level scaffolding using multiple references

Essential interpretations of bioinformatics in COVID-19 pandemic

Hadza Prevotella Require Diet-derived Microbiota Accessible Carbohydrates to Persist in mice.

Draft Genome Sequence of Janthinobacterium sp. Strain SLB01, Isolated from the Diseased Sponge Lubomirskia baicalensis

Genome Analysis of the Janthinobacterium sp. Strain SLB01 from the Diseased Sponge of the Lubomirskia baicalensis

Complete Genome Sequence of Rhodococcus qingshengii Strain VKM Ac-2784D, Isolated from Elytrigia repens Rhizosphere

Draft Genome Sequence of the Green Microalga Chlorella sp. Strain BAC9706, Isolated from Lake Baikal, Russia

Janthinobacterium sp. Strain SLB01 as Pathogenic Bacteria for Sponge Lubomirskia baikalensis


Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

The PyTorch-Kaldi Speech Recognition Toolkit

TorchAudio: Building Blocks for Audio and Speech Processing

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder


Python Repository of the Institute of Astronomy @ KU Leuven

Internal mixing of rotating stars inferred from dipole gravity modes

Zenodo (CERN European Organization for Nuclear Research)

Low-frequency gravity waves in blue supergiants revealed by high-precision space photometry

Contamination in TESS Light Curves: The Case of the Fast Yellow Pulsating Supergiants

Unresolved Rossby and gravity modes in 214 A and F stars showing rotational modulation

Monthly notices of the Royal Astronomical Society


Controllable and fast Text-to-Speech for over 7000 languages!

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

The IMS Toucan System for the Blizzard Challenge 2023

Low-Resource Multilingual and Zero-Shot Multispeaker TTS

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

»textklang« – Towards a Multi-Modal Exploration Platform for German Poetry

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Controlling Emotion in Text-to-Speech with Natural Language Prompts

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Probing the Feasibility of Multilingual Speaker Anonymization


Fast transit light curves models in Python.

batman: BAsic Transit Model cAlculatioN in Python

Publications of the Astronomical Society of the Pacific

Helium in the eroding atmosphere of an exoplanet

Phase Curves of WASP-33b and HD 149026b and a New Correlation between Phase Curve Offset and Irradiation Temperature

K2-136: A Binary System in the Hyades Cluster Hosting a Neptune-sized Planet

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Atmospheric Reconnaissance of TRAPPIST-1 b with JWST/NIRISS: Evidence for Strong Stellar Contamination in the Transmission Spectra

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

Revisiting the HIP 41378 System with K2 and Spitzer

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b


A framework for few-shot evaluation of autoregressive language models.

Evolutionary Optimization of Model Merging Recipes

Stable LM 2 1.6B Technical Report

Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing
  Japanese Language Capabilities

Release of Pre-Trained Models for the Japanese Language

Aurora-M: The First Open Source Multilingual Language Model Red-teamed
  according to the U.S. Executive Order

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models

Pretraining and Updating Language- and Domain-specific Large Language
  Model: A Case Study in Japanese Business Domain

Construction of Domain-specified Japanese Large Language Model for
  Finance through Continual Pre-training

Building a Large Japanese Web Corpus for Large Language Models


Neural Network Verification Software Tool

Algorithms for Verifying Deep Neural Networks

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

Verification of Deep Convolutional Neural Networks Using ImageStars

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

A Review of Formal Methods applied to Machine Learning

Formal Certification Methods for Automated Vehicle Safety Assessment

Robustness Verification of Semantic Segmentation Neural Networks Using Relaxed Reachability

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results


Epidemiological agent-based modelling packages in both python and C++. Published at: https://doi.org/10.5334/jors.449.

Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England

Epidemiological Agent-Based Modelling Software (Epiabm)

EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models


Model of Agricultural Production and its Impact on the Environment (MAgPIE) - model code

Combining ambitious climate policies with efforts to eradicate poverty

Carbon dioxide removal technologies are not born equal

Quantifying synergies and trade-offs in the global water-land-food-climate nexus using a multi-model scenario approach

Projected landscape-scale repercussions of global action for climate and biodiversity protection

Assessing policy options for sustainable water use in India’s cereal production system

Estimating global land system impacts of timber plantations using MAgPIE 4.3.5

Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming

'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs

Accounting for local temperature effect substantially alters afforestation patterns - data


DeepMind's Tacotron-2 Tensorflow implementation

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

A Survey on Neural Speech Synthesis

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training

Prosodic Features Control by Symbols as Input of Sequence-to-Sequence Acoustic Modeling for Neural TTS

IEICE Transactions on Information and Systems

Es-Tacotron2: Multi-Task Tacotron 2 with Pre-Trained Estimated Network for Reducing the Over-Smoothness Problem


Arnold - DOOM Agent

Deep Reinforcement Learning: An Overview

Playing FPS Games with Deep Reinforcement Learning

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning


MuTect -- Accurate and sensitive cancer mutation detection

Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non–Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel

Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Genomic landscape and evolutionary trajectories of ovarian cancer precursor lesions

A Phase Ib Study of the Combination of Personalized Autologous Dendritic Cell Vaccine, Aspirin, and Standard of Care Adjuvant Chemotherapy Followed by Nivolumab for Resected Pancreatic Adenocarcinoma—A Proof of Antigen Discovery Feasibility in Three Patients

Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer

Paired whole exome and transcriptome analyses for the Immunogenomic changes during concurrent chemoradiotherapy in esophageal squamous cell carcinoma

Driver mutations of intrahepatic cholangiocarcinoma shape clinically relevant genomic clusters with distinct molecular features and therapeutic vulnerabilities

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

CIITA-Transduced Glioblastoma Cells Uncover a Rich Repertoire of Clinically Relevant Tumor-Associated HLA-II Antigens


Deep Unknown Intent Detection with Margin Loss

Few-Shot Named Entity Recognition: A Comprehensive Study

Example-Based Named Entity Recognition

Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System

Modeling with Recurrent Neural Networks for Open Vocabulary Slots

International Conference on Computational Linguistics

Multi-task learning to improve natural language understanding

Parallel Intent and Slot Prediction using MLB Fusion

Incremental processing of noisy user utterances in the spoken language understanding task


Localizing Visual Sounds the Hard Way

Localizing Visual Sounds the Hard Way

Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes

How to Listen? Rethinking Visual Sound Localization


Data for the quantitative study of (Vedic) Sanskrit

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

Dating and Stratifying a Historical Corpus with a Bayesian Mixture Model

LDA Topic Modeling for pramāṇa Texts: A Case Study in Sanskrit NLP Corpus Building

PROCEEDINGS OF THE 6TH INTERNATIONAL SANSKRIT COMPUTATIONAL LINGUISTICS SYMPOSIUM (ISCLS 2019)


elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems

S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem


RNA-seq Quantification of Alternative Polyadenylation

Differential contribution of transcriptomic regulatory layers in the definition of neuronal identity

Implications of Poly(A) Tail Processing in Repeat Expansion Diseases

PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data


This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

Physical Adversarial Attacks on an Aerial Imagery Object Detector

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)

Detection and localization of caries and hypomineralization on dental photographs with a vision transformer model

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments.

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad

A Scenario-Based Functional Testing Approach to Improving DNN Performance

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision


Learning from Synthetic Animals

From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation

What AI can do for horse-racing ?


Neural Architecture Optimization

Neural Architecture Optimization

NAS evaluation is frustratingly hard

Understanding Neural Architecture Search Techniques

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Balanced One-shot Neural Architecture Optimization

XferNAS: Transfer Neural Architecture Search


An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

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

High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units

Unit-based Speech-to-Speech Translation Without Parallel Data

RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations


A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Conditional Image Synthesis With Auxiliary Classifier GANs

Skip-Thought Vectors

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network


Conditional implementation for NVIDIA's StyleGAN architecture

Improved Training of Wasserstein GANs

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

LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks


Automated deep-learning based brain tumor segmentation on MRI

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

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

Microvasculature Features Derived from Hybrid EPI MRI in Non-Enhancing Adult-Type Diffuse Glioma Subtypes

Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning

Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma


World Geographical Scheme for Recording Plant Distributions (WGSRPD)

Native range estimates for red-listed vascular plants


User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins

Context-aware deconvolution of cell-cell communication with Tensor-cell2cell

Inferring a spatial code of cell-cell interactions across a whole animal body

CITEdb: a manually curated database of cell–cell interactions in human


CIRCexplorer3: A CLEAR Pipeline for Direct Comparison of Circular and Linear RNA Expression

基因组蛋白质组与生物信息学报

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization

A CLEAR pipeline for direct comparison of circular and linear RNA expression


Twissandra is an example project, created to learn and demonstrate how to use Cassandra. Running the project will present a website that has similar functionality to Twitter.

Incremental Consistency Guarantees for Replicated Objects

MonkeyDB: Effectively Testing Correctness under Weak Isolation Levels

Proceedings of the ACM on Programming Languages

MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels


perl cworld module and collection of utility/analysis scripts for C data (3C, 4C, 5C, Hi-C)

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

CTCF sites display cell cycle–dependent dynamics in factor binding and nucleosome positioning

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome

HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps

Single-cell measurement of higher-order 3D genome organization with scSPRITE

Hi-C analysis: from data generation to integration

Differential contribution of steady-state RNA and active transcription in chromatin organization

Orientation-dependent Dxz4 contacts shape the 3D structure of the inactive X chromosome

Megadomains and superloops form dynamically but are dispensable for X-chromosome inactivation and gene escape


ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram

Mutation of the imprinted gene OsEMF2a induces autonomous endosperm development and delayed cellularization in rice

Diversity in Metabolites and Fruit Quality Traits in Blueberry Enables Ploidy and Species Differentiation and Establishes a Strategy for Future Genetic Studies

Biocontrol Traits Correlate With Resistance to Predation by Protists in Soil Pseudomonads

Plasma-Derived Extracellular Vesicles Convey Protein Signatures That Reflect Pathophysiology in Lung and Pancreatic Adenocarcinomas

Inhibition of p38 signaling curtails the SARS-CoV-2 induced inflammatory response but retains the IFN-dependent antiviral defense of the lung epithelial barrier

Cover crop-driven shifts in soil microbial communities could modulate early tomato biomass via plant-soil feedbacks

Analysis of Tick Surface Decontamination Methods

Calcitriol Promotes Differentiation of Glioma Stem-Like Cells and Increases Their Susceptibility to Temozolomide

Citrus Varieties with Different Tolerance Grades to Tristeza Virus Show Dissimilar Volatile Terpene Profiles


Web application to explore the Sequence Read Archive.

Comprehensive understanding of Tn5 insertion preference improves transcription regulatory element identification

KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition

International journal of molecular sciences

Effective population size does not explain long-term variation in genome size and transposable element content in animals


Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Large Scale Incremental Learning

End-to-End Incremental Learning

Learning a Unified Classifier Incrementally via Rebalancing

Class-incremental learning: survey and performance evaluation on image classification

Learning without Memorizing

Class-incremental Learning via Deep Model Consolidation

IL2M: Class Incremental Learning With Dual Memory

International Conference on Computer Vision


Code for coreset selection methods

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

Data pruning and neural scaling laws: fundamental limitations of score-based algorithms

Exploring Learning Complexity for Efficient Downstream Dataset Pruning

Spectral Greedy Coresets for Graph Neural Networks

RK-CORE: An Established Methodology for Exploring the Hierarchical Structure within Datasets


OpenFedLLM: Training Large Language Models on Decentralized Private Data
  via Federated Learning

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare

Leveraging Unstructured Text Data for Federated Instruction Tuning of
  Large Language Models


Extract individual trees from lidar point clouds

Extracting individual trees from lidar point clouds using treeseg

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar

QSMs, point cloud and harvest data from a destructive forest biomass experiment in Belgium using terrestrial laser scanning


ZPar statistical parser. Universal language support (depending on the availability of training data), with language-specific features for Chinese and English. Currently support word segmentation, POS tagging, dependency and phrase-structure parsing.

Measuring the Information Content of Financial News

Neural Transition-based Syntactic Linearization

Dependency Language Models for Transition-based Dependency Parsing


Project for Connectionist Temporal Classification with Maximum Entropy Regularization.

Text Recognition in the Wild: A Survey

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach


Image processing software for CODEX: driftcompensation, deconvolution, uploading and segmentation

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Organization of the human intestine at single-cell resolution

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments

Computational Methods for Single-Cell Proteomics

Annual review of biomedical data science

T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response


Same species annotation lift over pipeline.

Updated annotation of the wild strawberry Fragaria vesca V4 genome

First Draft Assembly and Annotation of the Genome of a California Endemic Oak Quercus lobata Née (Fagaceae)

Chromosome-scale scaffolding of the black raspberry (Rubus occidentalis L.) genome based on chromatin interaction data

A Single SNP Turns a Social Honey Bee (Apis mellifera) Worker into a Selfish Parasite

Benchmark study comparing liftover tools for genome conversion of epigenome sequencing data

Genome Improvement and Genetic Map Construction for Aethionema arabicum, the First Divergent Branch in the Brassicaceae Family

Building a foundation for gene family analysis in Rosaceae genomes with a novel workflow: A case study in Pyrus architecture genes

De Novo Genome Assembly of a Plasmodium falciparum NF54 Clone Using Single-Molecule Real-Time Sequencing

PRE-1 Revealed Previous Unknown Introgression Events in Eurasian Boars during the Middle Pleistocene

A Chromosome-Length Reference Genome for the Endangered Pacific Pocket Mouse Reveals Recent Inbreeding in a Historically Large Population


Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

Graph-based Semi-supervised Learning: A Comprehensive Review

MILE: A Multi-Level Framework for Scalable Graph Embedding

Hierarchical message-passing graph neural networks

Exponential Family Graph Embeddings

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

A Provable Framework of Learning Graph Embeddings via Summarization

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

SMGRL: Scalable Multi-resolution Graph Representation Learning


a collection of remote climate data accessed via intake cached to disk


Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Bridging HPC Communities through the Julia Programming Language


Library with search algorithms for task and path planning for multi robot/agent systems

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs

Shadoks Approach to Low-Makespan Coordinated Motion Planning

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

DMAPF: A Decentralized and Distributed Solver for Multi-Agent Path Finding Problem with Obstacles


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

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

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

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


Protoplanetary Disk Modeling for Dynamical Mass Derivation

The Degree of Alignment between Circumbinary Disks and Their Binary Hosts

A Disk-based Dynamical Mass Estimate for the Young Binary AK Sco

A DISK-BASED DYNAMICAL CONSTRAINT ON THE MASS OF THE YOUNG BINARY DQ TAU

ALMA Measurements of Circumstellar Material in the GQ Lup System

ALMA Observations of the Young Substellar Binary System 2M1207

A Coplanar Circumbinary Protoplanetary Disk in the TWA 3 Triple M Dwarf System

Kinematic Structures in Planet-Forming Disks


Synchronized Batch Normalization implementation in PyTorch.

MegDet: A Large Mini-Batch Object Detector

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net


Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

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

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

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

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

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

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

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

Graph-based Approximate NN Search: A Revisit

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings

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


python Generator of REnewable Time series and mAps


A python library that implements a number of Privacy Enhancing Technolgies

Chainspace: A Sharded Smart Contracts Platform

Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers

Efficient Private Statistics with Succinct Sketches

VoteAgain: A scalable coercion-resistant voting system

Might I Get Pwned: A Second Generation Compromised Credential Checking Service

ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging

Workshop on Privacy in the Electronic Society

AStERISK: Auction-based Shared Economy ResolutIon Markets for Blockchain Platforms

Aggregate Signatures with Versatile Randomization and Issuer-Hiding Multi-Authority Anonymous Credentials

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

zksk: A Library for Composable Zero-Knowledge Proofs

DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists


Code for the General Lake Model

A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Differential Responses of Maximum Versus Median Chlorophyll-a to Air Temperature and Nutrient Loads in an Oligotrophic Lake Over 31 Years


A Hearthstone: Heroes of WarCraft Simulator for the purposes of Machine Learning and Data Mining

Latent Predictor Networks for Code Generation

Embedding API dependency graph for neural code generation

CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information

Mastering Strategy Card Game (Hearthstone) with Improved Techniques


reports on carbon removal projects and technologies


Alpaca dataset from Stanford, cleaned and curated

NExT-GPT: Any-to-Any Multimodal LLM

AlpaGasus: Training A Better Alpaca with Fewer Data

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning

Automatic Instruction Optimization for Open-source LLM Instruction Tuning

Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

Smaller Language Models are capable of selecting Instruction-Tuning
  Training Data for Larger Language Models

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Clustering and Ranking: Diversity-preserved Instruction Selection
  through Expert-aligned Quality Estimation

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning
  Attacks

Bias-Augmented Consistency Training Reduces Biased Reasoning in
  Chain-of-Thought


A structured list of resources about Sum-Product Networks (SPNs)

Sum-product networks: A survey

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets


The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Bayesian delensing of CMB temperature and polarization

Sampling-based inference of the primordial CMB and gravitational lensing

Marginal unbiased score expansion and application to CMB lensing

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

Journal of Cosmology and Astroparticle Physics


A Japanese NLP Library using spaCy as framework based on Universal Dependencies

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

Transformer-based Lexically Constrained Headline Generation

Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-15

KWJA: A Unified Japanese Analyzer Based on Foundation Models

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications

Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation


What does it take to decarbonize your state?


XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives

The DIRAC code for relativistic molecular calculations

All-electron fully relativistic Kohn-Sham theory for solids based on the Dirac-Coulomb Hamiltonian and Gaussian-type functions

Environmental Effects with Frozen-Density Embedding in Real-Time Time-Dependent Density Functional Theory Using Localized Basis Functions

Journal of chemical theory and computation

Frozen-Density Embedding for including environmental effects in the
  Dirac-Kohn-Sham theory: an implementation based on density fitting and
  prototyping techniques

Interoperable Workflows by Exchanging Grid-Based Data between
  Quantum-Chemical Program Packages


Framework for Operational Radiometric Correction for Environmental monitoring

Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages

IEEE Geoscience and Remote Sensing Letters

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics

Multispectral analysis-ready satellite data for three East African mountain ecosystems

Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT

A Sentinel-2 Dataset for Uganda

International Conference on Data Technologies and Applications


BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

A comprehensive review of Binary Neural Network

Back to Simplicity: How to Train Accurate BNNs from Scratch?

Training Competitive Binary Neural Networks from Scratch

MeliusNet: An Improved Network Architecture for Binary Neural Networks

Workshop on Applications of Computer Vision

Training Accurate Binary Neural Networks from Scratch

International Conference on Information Photonics

BMXNet 2: An Open Source Framework for Low-bit Networks - Reproducing, Understanding, Designing and Showcasing

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


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

Scalable federated machine learning with FEDn

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

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

Hierarchical and Decentralised Federated Learning


A multi-backend graph learning library.

Dynamic Graph CNN for Learning on Point Clouds

Graph Mining for Cybersecurity: A Survey

GammaGL: A Multi-Backend Library for Graph Neural Networks

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

Minimum Topology Attacks for Graph Neural Networks

Provable Training for Graph Contrastive Learning


Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Sequence to Sequence Learning

A Call for Clarity in Reporting BLEU Scores

Achieving Human Parity on Automatic Chinese to English News Translation

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures

Training Tips for the Transformer Model

The Prague Bulletin of Mathematical Linguistics

Sockeye: A Toolkit for Neural Machine Translation

A Study of Reinforcement Learning for Neural Machine Translation

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges