Leading Eigenvector Dynamics Analysis

Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest

Optimized Multiscale Entropy Model Based on Resting-State fMRI for Appraising Cognitive Performance in Healthy Elderly

Computational and mathematical methods in medicine

Neuropeptide Y Variation Is Associated With Altered Static and Dynamic Functional Connectivity of the Salience Network


An R package to calculate carbon footprints from air travel based on IATA airport codes or latitude and longitude.


GPS plugin for NetKet (www.netket.org), introducing new models, optimizers and Fermionic functionality.

A framework for efficient ab initio electronic structure with Gaussian Process States

Impact of conditional modelling for a universal autoregressive quantum state


This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.

Sarcasm Detection using Hybrid Neural Network

News Headlines Dataset For Sarcasm Detection


DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning

DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision

Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey


Code for Continuously Changing Corruptions (CCC) benchmark + evaluation

RDumb: A simple approach that questions our progress in continual test-time adaptation

The Entropy Enigma: Success and Failure of Entropy Minimization


A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing

Deep learning with coherent nanophotonic circuits

Photonics Society Summer Topical Meeting Series

Neuromorphic Silicon Photonic Networks

Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture

Asia and South Pacific Design Automation Conference

A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning

Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability

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

ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization


A PyTorch Implementation of FastFusionNet on SQuAD 1.1

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Fast Reading Comprehension with ConvNets

Do Question Answering Modeling Improvements Hold Across Benchmarks?

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

Integrated Triaging for Fast Reading Comprehension


Roman CGI direct imaging performance in the context of current instruments and known planets.

The Nancy Grace Roman Space Telescope Coronagraph Instrument (CGI) Technology Demonstration.

Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave

The Warm Neptune GJ 3470b Has a Polar Orbit

Direct Imaging and Spectroscopy of Extrasolar Planets

Radial Velocity Discovery of an Eccentric Jovian World Orbiting at 18 au

Lessons for WFIRST CGI from ground-based high-contrast systems

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Flight mask designs of the Roman Space Telescope coronagraph instrument

Techniques and Instrumentation for Detection of Exoplanets X

Optical and Near-infrared View of Planet-forming Disks and Protoplanets

The Possible Astrometric Signature of a Planetary-mass Companion to the Nearby Young Star TW Piscis Austrini (Fomalhaut B): Constraints from Astrometry, Radial Velocities, and Direct Imaging

Nancy Grace Roman Space Telescope Coronagraph Instrument Overview and Status

Key Technologies for the Wide Field Infrared Survey Telescope Coronagraph Instrument


Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration

Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey


Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Deep Image Compression using Decoder Side Information

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Neural Distributed Image Compression Using Common Information

Lossy Compression of Noisy Data for Private and Data-Efficient Learning


Library containing PyTorch implementations of various adversarial attacks and resources

Towards Evaluating the Robustness of Neural Networks

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

Trust Region Based Adversarial Attack on Neural Networks

Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Stochastic sparse adversarial attacks

PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack


GRAbB (Genome Region Assembly by Baiting) is a program designed to assemble selected regions of the genome or transcriptome using reference sequences and NGS data.

Phylogeny of dermatophytes with genomic character evaluation of clinically distinct Trichophyton rubrum and T. violaceum

GRAbB: Selective Assembly of Genomic Regions, a New Niche for Genomic Research

Population Genomic Analysis Reveals a Highly Conserved Mitochondrial Genome in Fusarium asiaticum


Spatial Flexible Continuous Time Markov Network (SFCTMN)

Dynamic Channel Bonding in Spatially Distributed High-Density WLANs

Spatial Reuse in IEEE 802.11ax WLANs

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs


Mixed Model Package For Genome-wide association mapping.

GWAPP: A Web Application for Genome-Wide Association Mapping in Arabidopsis

Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome

Limited Contribution of DNA Methylation Variation to Expression Regulation in Arabidopsis thaliana

Genome-wide Association Analysis Tracks Bacterial Leaf Blight Resistance Loci In Rice Diverse Germplasm

Multiple alleles at a single locus control seed dormancy in Swedish Arabidopsis

Extreme genetic signatures of local adaptation during Lotus japonicus colonization of Japan

Identification of genetic loci associated with higher resistance to pancreas disease (PD) in Atlantic salmon (Salmo salar L.)

Locally adaptive temperature response of vegetative growth in Arabidopsis thaliana

The genetic architecture of the network underlying flowering time variation in Arabidopsis thaliana

GWAPP: A Web Application for Genome-wide Association Mapping in A. thaliana


Viral genome reference alignment

Emergence and phenotypic characterization of the global SARS-CoV-2 C.1.2 lineage

Predominance of the SARS-CoV-2 Lineage P.1 and Its Sublineage P.1.2 in Patients from the Metropolitan Region of Porto Alegre, Southern Brazil in March 2021

Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus

medRxiv : the preprint server for health sciences

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel

Post-vaccination SARS-COV-2 among healthcare workers in New Jersey: a genomic epidemiological study

Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020-2021

Efficacy of primary series AZD1222 (ChAdOx1 nCoV-19) vaccination against SARS-CoV-2 variants of concern: Final analysis of a randomized, placebo-controlled, phase 1b/2 study in South African adults (COV005)


MVIN: Learning Multiview Items for Recommendation, SIGIR 2020

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

International Conference on Information and Knowledge Management

Knowledge Graph Convolutional Networks for Recommender Systems

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

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


Attention-based NMT with Coverage, Context Gate, and Reconstruction

Modeling Coverage for Neural Machine Translation

Neural Machine Translation with Reconstruction

Context Gates for Neural Machine Translation

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism


Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

Understanding Attention and Generalization in Graph Neural Networks

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications


Interactive and object-oriented programming in Agda using coinductive types

Interactive programming in Agda – Objects and graphical user interfaces

Programming with monadic CSP-style processes in dependent type theory

Proceedings of the 1st International Workshop on Type-Driven Development

Modelling Bitcoin in Agda

Trace and Stable Failures Semantics for CSP-Agda


This repo contains some extensions of deepspeed-chat for fine-tuning LLMs (SFT+RLHF).

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

Prior Constraints-based Reward Model Training for Aligning Large
  Language Models


Tabulated Correlation Functions

Five per cent measurements of the growth rate from simulation-based modelling of redshift-space clustering in BOSS LOWZ

AbacusHOD: A highly efficient extended multi-tracer HOD framework and its application to BOSS and eBOSS data

On the halo-mass and radial scale dependence of the lensing is low effect

Monthly Notices of the Royal Astronomical Society

Evidence of galaxy assembly bias in SDSS DR7 galaxy samples from count statistics

Constraints on S8 from a full-scale and full-shape analysis of redshift-space clustering and galaxy–galaxy lensing in BOSS

Differentiable Predictions for Large Scale Structure with SHAMNet


A spherical convolutional neural network for cosmology (TFv1).

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

DeepSphere: a graph-based spherical CNN

DeepSphere: towards an equivariant graph-based spherical CNN

DeepSphere: a graph-based spherical CNN (ICLR'20 spotlight)

CMB delensing with deep learning


Cavity molecular dynamics simulations for vibrational strong and ultrastrong coupling, including code implementation, job submission, data post-processing and plotting.

Cavity molecular dynamics simulations of liquid water under vibrational ultrastrong coupling

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

Collective Vibrational Strong Coupling Effects on Molecular Vibrational Relaxation and Energy Transfer: Numerical Insights via Cavity Molecular Dynamics Simulations**

Cavity molecular dynamics simulations of vibrational polariton-enhanced molecular nonlinear absorption.

Energy-efficient pathway for selectively exciting solute molecules to high vibrational states via solvent vibration-polariton pumping

Polariton relaxation under vibrational strong coupling: Comparing cavity molecular dynamics simulations against Fermi's golden rule rate

QM/MM Modeling of Vibrational Polariton Induced Energy Transfer and Chemical Dynamics.

Journal of the American Chemical Society

Quantum Simulations of Vibrational Strong Coupling via Path Integrals

Mesoscale Molecular Simulations of Fabry-Pérot Vibrational Strong
  Coupling


Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

Graph-based Molecular Representation Learning

Learning Invariant Molecular Representation in Latent Discrete Space


Associated Repository for "Translation between Molecules and Natural Language"

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

MolXPT: Wrapping Molecules with Text for Generative Pre-training

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


active learning + reusable workflows + likelihood free inference

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

Compositional Score Modeling for Simulation-based Inference

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation

Balancing Simulation-based Inference for Conservative Posteriors

AI for Science: An Emerging Agenda


Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing

Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters


The large-scale MultiLingual SUMmarization corpus

MLSUM: The Multilingual Summarization Corpus

Benchmarking Large Language Model Capabilities for Conditional Generation

Semantic Similarity Based Evaluation for Abstractive News Summarization


MgeEditing is an open source image and video editing toolbox based on MegEngine.

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

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Tracking Objects as Points

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

Learning Joint Spatial-Temporal Transformations for Video Inpainting

Video Super-Resolution with Recurrent Structure-Detail Network


An event-based tool for analyzing and quantifying calcium or neurotransmitter imaging data

Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology

Dopamine Activates Astrocytes in Prefrontal Cortex via α1-Adrenergic Receptors

Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling

Microglia sense astrocyte dysfunction and prevent disease progression in an Alexander disease model

Calcium Signaling in the Cerebellar Radial Glia and Its Association with Morphological Changes during Zebrafish Development

International journal of molecular sciences


Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network.

Tropical rainfall monitoring with commercial microwave links in Sri Lanka

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Commercial microwave link data for rainfall monitoring

Towards Innovative Solutions for Monitoring Precipitation in Poorly Instrumented Regions: Real-Time System for Collecting Power Levels of Microwave Links of Mobile Phone Operators for Rainfall Quantification in Burkina Faso


Code for pmVAE model, seen in ICML CompBio '21

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

基因组蛋白质组与生物信息学报

Learning interpretable latent autoencoder representations with annotations of feature sets

pmVAE: Learning Interpretable Single-Cell Representations with Pathway Modules


SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.


Manipulate gravitational waveforms—changing frames, and so on.

The SXS collaboration catalog of binary black hole simulations

Multipolar effective-one-body waveforms for precessing binary black holes: Construction and validation

A Surrogate model of gravitational waveforms from numerical relativity simulations of precessing binary black hole mergers

Regression methods in waveform modeling: a comparative study

Fast and efficient evaluation of gravitational waveforms via reduced-order spline interpolation


DDXPlus: A New Dataset For Automatic Medical Diagnosis

Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification

Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks

StreamBench: Towards Benchmarking Continuous Improvement of Language Agents


A Python module that implements NAFF Algorithm

Refined betatron tune measurements by mixing beam position data

Identification and characterization of high order incoherent space charge driven structure resonances in the CERN Proton Synchrotron

Resonance identification studies at the CERN PS

Coupling and Space Charge studies at the CERN PSB

Frequency analysis and dynamic aperture studies in a low energy antiproton ring with realistic 3D magnetic fields


Image translation by CNNs trained on unpaired data

Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging

Visual enhancement of Cone-beam CT by use of CycleGAN

Training of deep cross-modality conversion models with a small dataset,
  and their application in megavoltage CT to kilovoltage CT conversion

Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network


Software for the prediction of DEER and PRE data from conformational ensembles.

Global Structure of the Intrinsically Disordered Protein Tau Emerges from Its Local Structure

Structure and dynamics of a nanodisc by integrating NMR, SAXS and SANS experiments with molecular dynamics simulations

Mechanistic basis of substrate–O2 coupling within a chitin-active lytic polysaccharide monooxygenase: An integrated NMR/EPR study

DEER-PREdict: Software for efficient calculation of spin-labeling EPR and NMR data from conformational ensembles


The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

Fast Infrared Radiative Transfer Calculations Using Graphics Processing Units: JURASSIC-GPU v2.0


Canonical repository for the Disconnect services file

IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale

Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors

Under the Spotlight: Web Tracking in Indian Partisan News Websites

There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage.

Crumbled Cookie Exploring E-commerce Websites Cookie Policies with Data Protection Regulations


Elegant implementations of offline safe RL algorithms in PyTorch

Constrained Decision Transformer for Offline Safe Reinforcement Learning

Datasets and Benchmarks for Offline Safe Reinforcement Learning

A Survey of Constraint Formulations in Safe Reinforcement Learning

Uncertainty-Aware Decision Transformer for Stochastic Driving Environments

Temporal Logic Specification-Conditioned Decision Transformer for
  Offline Safe Reinforcement Learning


A global lake level database


A challenge to explore adversarial robustness of neural networks on CIFAR10.

Towards Deep Learning Models Resistant to Adversarial Attacks

Towards Evaluating the Robustness of Neural Networks

Robustness May Be at Odds with Accuracy

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Generating Adversarial Examples with Adversarial Networks

Feature Denoising for Improving Adversarial Robustness

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Exploring the Landscape of Spatial Robustness

Spatially Transformed Adversarial Examples

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations


Weekly visualization report of Open LLM model performance based on 4 metrics.

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging

Asian Hardware-Oriented Security and Trust Symposium

A Systematic Literature Review on Explainability for Machine/Deep
  Learning-based Software Engineering Research

Evaluating the Retrieval Component in LLM-Based Question Answering
  Systems


Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

Visual Domain Adaptation: A survey of recent advances

Neural Unsupervised Domain Adaptation in NLP---A Survey

Deep Contextualized Self-training for Low Resource Dependency Parsing


Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference


Useful bioinformatic scripts

Genomics of rapid ecological divergence and parallel adaptation in four tidal marsh sparrows

Demography and Natural Selection Have Shaped Genetic Variation in the Widely Distributed Conifer Norway Spruce (Picea abies)

Chromosome-level genome assembly of hadal snailfish reveals mechanisms of deep-sea adaptation in vertebrates


Creative Commons Attribution 4.0 International

A prize for finding tasks that cause large language models to show inverse scaling

Emergent Abilities of Large Language Models

A Survey of Large Language Models

Retrieval-Augmented Generation for Large Language Models: A Survey

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

A Survey on In-context Learning

Model evaluation for extreme risks

Inverse Scaling: When Bigger Isn't Better

Inverse scaling can become U-shaped

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python


Tool to build force field input files for molecular simulation

Martini Coarse-Grained Models of Imidazolium-Based Ionic Liquids: From Nanostructural Organization to Liquid-Liquid Extraction

Resolving dispersion and induction components for polarisable molecular simulations of ionic liquids

Exfoliation of graphene and fluorographene in molecular and ionic liquids

Low-Temperature Phase Transitions of the Ionic Liquid 1-Ethyl-3-methylimidazolium Dicyanamide

Molecular Dynamics of Ionic Liquids from Fast-Field Cycling NMR and Molecular Dynamics Simulations

Charge Transport in Water-NaCl Electrolytes with Molecular Dynamics Simulations

Zenodo (CERN European Organization for Nuclear Research)

Ion Pair Free Energy Surface as a Probe of Ionic Liquid Structure

Unravelling free volume in branched-cation ionic liquids based on silicon

Room temperature ionic liquids with two symmetric ions


Filtering and trimming of long read sequencing data

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

A preliminary study on the potential of Nanopore MinION and Illumina MiSeq 16S rRNA gene sequencing to characterize building-dust microbiomes

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Agro-Morphological, Yield, and Genotyping-by-Sequencing Data of Selected Wheat (Triticum aestivum) Germplasm From Pakistan

Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing

A Comprehensive Multi-Omic Approach Reveals a Relatively Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda

The gap-free genome of mulberry elucidates the architecture and evolution of polycentric chromosomes


Implementation of the Regularized Nonlinear Acceleration algorithm

Nonlinear Acceleration of CNNs

Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization

Direct Nonlinear Acceleration


Time series competition data

Forecasting: theory and practice

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

The future of forecasting competitions: Design attributes and principles


Official research projects of badminton CoachAI

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset


[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Self-Supervised Monocular Depth Hints

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

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


Approximately balanced estimation of average treatment effects in high dimensions.

A Survey on Causal Inference

Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions

Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties

Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap

Estimating causal effects with optimization-based methods: A review and empirical comparison

European Journal of Operational Research


LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Do Machine Learning Models Produce TypeScript Types That Type Check?

Learning Type Inference for Enhanced Dataflow Analysis

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International Journal of Artificial Intelligence and Machine Learning


Spriteworld: a flexible, configurable python-based reinforcement learning environment

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Overview of Software Agent Platforms Available in 2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Provably Learning Object-Centric Representations

AlignNet: Unsupervised Entity Alignment

Embrace the Gap: VAEs Perform Independent Mechanism Analysis

Disentangled Cumulants Help Successor Representations Transfer to New Tasks

Provable Compositional Generalization for Object-Centric Learning

Causal Reinforcement Learning: A Survey


Multi-step Off-policy Learning Without Importance Sampling Ratios

Investigating practical linear temporal difference learning

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity

An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment

An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task


Fast Inference for GW Astronomy, Research and Observations

GW190521: A binary black hole merger inside an active galactic nucleus?

Rapid localization of gravitational wave hosts with FIGARO

Hierarchical inference of evidence using posterior samples


An open source biological wastewater treatment simulation software...

BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration


Tempo is a program for pulsar timing data analysis.

The NANOGrav 15 yr Data Set: Observations and Timing of 68 Millisecond Pulsars

The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars

The Astrophysical Journal Supplement Series

Asymmetric mass ratios for bright double neutron-star mergers

TIMING OF 29 PULSARS DISCOVERED IN THE PALFA SURVEY

Pulsar Timing Array Experiments


A suite of stochastic optimization methods for solving the empirical risk minimization problem.

Stochastic quasi-gradient methods: variance reduction via Jacobian sketching

Optimal mini-batch and step sizes for SAGA

Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods

Towards closing the gap between the theory and practice of SVRG


This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.

Regularized Newton Method with Global O(1/k^2) Convergence

The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization

Advancing the lower bounds: An accelerated, stochastic, second-order method with optimal adaptation to inexactness


The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism

COVID-19 open source data sets: a comprehensive survey

Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic

A systematic review on AI/ML approaches against COVID-19 outbreak

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

How Epidemic Psychology Works on Twitter: Evolution of responses to the COVID-19 pandemic in the U.S

"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

IEEE access : practical innovations, open solutions

Shouting Into the Wind: Medical Science versus “B.S.” in the Twitter Maelstrom of Politics and Misinformation About Hydroxychloroquine


Parallel Library for Tensor Network Methods

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends® in Machine Learning

Magnetic field induced quantum phases in a tensor network study of Kitaev magnets

Tensor Regression

TeNeS: Tensor network solver for quantum lattice systems


A top-down/breadth-first decision diagram manipulation framework

Exact Computation of Influence Spread by Binary Decision Diagrams

Efficient Network Reliability Computation in Uncertain Graphs

A Flow-Based Formulation for Parallel Machine Scheduling Using Decision Diagrams

International Competition on Graph Counting Algorithms 2023

Finding well-optimized special quasirandom structures with decision diagram


LSST Simulations repository for baseline evaluation information

The Absolute Magnitude of the Sun in Several Filters

Updated BaSTI Stellar Evolution Models and Isochrones. II. α-enhanced Calculations

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

The Near-ultraviolet Continuum Radiation in the Impulsive Phase of HF/GF-type dMe Flares. I. Data

Surrogate modelling the Baryonic Universe - I. The colour of star formation

SED-dependent galactic extinction prescription for Euclid and future cosmological surveys

Semi-analytic forecasts for Roman – the beginning of a new era of deep-wide galaxy surveys

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

Considerations for Optimizing the Photometric Classification of Supernovae from the Rubin Observatory

Surrogate modelling the Baryonic Universe II: On forward modelling the colours of individual and populations of galaxies


1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog

Global Genetic Heterogeneity in Adaptive Traits

Polygenic adaptation of rosette growth in Arabidopsis thaliana


PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

Dual Encoding for Zero-Example Video Retrieval

Visually Grounded Neural Syntax Acquisition

Meeting of the Association for Computational Linguistics

LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

On Metric Learning for Audio-Text Cross-Modal Retrieval

Efficient Neural Architecture for Text-to-Image Synthesis

Scones: Towards Conversational Authoring of Sketches

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2020

Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case

International Conference on Computational Linguistics

Upgrading the Newsroom: An Automated Image Selection System for News Articles


CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis

Automatic Mapping of NES Games with Mappy

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'17)

Automated Game Design Learning

Mechanics Automatically Recognized via Interactive Observation: Jumping


A framework for high-performance domain decomposition methods.

Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing

Fully Parallel Mesh I/O Using PETSc DMPlex with an Application to Waveform Modeling

A GenEO Domain Decomposition method for Saddle Point problems

Asynchronous One-Level and Two-Level Domain Decomposition Solvers

Mathematical analysis of robustness of two-level domain decomposition methods with respect to inexact coarse solves

Iterative frequency-domain seismic wave solvers based on multi-level domain-decomposition preconditioners

Large-scale frequency-domain seismic wave modeling on h-adaptive tetrahedral meshes with iterative solver and multi-level domain-decomposition preconditioners

Several ways to achieve robustness when solving wave propagation problems

Large-scale finite-difference and finite-element frequency-domain seismic wave modelling with multi-level domain-decomposition preconditioner


RNA secondary structure/sequence profiles for homology search and alignment

VADR: validation and annotation of virus sequence submissions to GenBank

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

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

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

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling

Ribovore: ribosomal RNA sequence analysis for GenBank submissions and database curation

From microbial community structure to metabolic inference using paprica

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


Efficient Variant Analysis

Genomewide Association Study of Severe Covid-19 with Respiratory Failure

Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease

bioRxiv : the preprint server for biology

Accelerating Variant Calling on Human Genomes Using a Commodity Cluster

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021


The Tianlai pipeline.

The Tianlai dish pathfinder array: design, operation, and performance of a prototype transit radio interferometer

Monthly notices of the Royal Astronomical Society

Progress in the Construction and Testing of the Tianlai Radio Interferometers

An Eigenvector-Based Method of Radio Array Calibration and Its Application to the Tianlai Cylinder Pathfinder

Data processing pipeline for Tianlai experiment

A Simulation of Calibration and Map-making Errors of the Tianlai Cylinder Pathfinder Array


The Land Matrix is a global and independent land monitoring initiative that promotes transparency and accountability in decisions over land and investment. The website is our Global Observatory - an open tool for collecting and visualising information about large-scale land acquisitions.


A robust way to calculate line-of-sight velocities.

Meridional flows in the disk around a young star

A Robust Method to Measure Centroids of Spectral Lines

Spiral Structure in the Gas Disk of TW Hya

The TW Hya Rosetta Stone Project. III. Resolving the Gaseous Thermal Profile of the Disk

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Molecules with ALMA at Planet-forming Scales (MAPS). XVII. Determining the 2D Thermal Structure of the HD 163296 Disk

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Mapping the Complex Kinematic Substructure in the TW Hya Disk

bettermoments: A robust method to measure line centroids

Early Planet Formation in Embedded Disks (eDisk). III. A First High-resolution View of Submillimeter Continuum and Molecular Line Emission toward the Class 0 Protostar L1527 IRS


Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

A Gradient-Interleaved Scheduler for Energy-Efficient Backpropagation for Training Neural Networks

International Symposium on Circuits and Systems

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge
  Devices via Layerwise Unified Compression and Adaptive Layer Tuning and
  Voting


Chinese AI & Law Challenge

Overview of CAIL2018: Legal Judgment Prediction Competition

A Computational Intelligence Model for Legal Prediction and Decision Support

Computational intelligence and neuroscience

De-biased Attention Supervision for Text Classification with Causality

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 17

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge
  Perspectives


SKIRT version 7 -- 3D dust radiative transfer

SKIRT: An advanced dust radiative transfer code with a user-friendly architecture

Far-infrared and dust properties of present-day galaxies in the EAGLE simulations

Monthly Notices of the Royal Astronomical Society

DustPedia: A Definitive Study of Cosmic Dust in the Local Universe

Publications of the Astronomical Society of the Pacific

SKIRT: The design of a suite of input models for Monte Carlo radiative transfer simulations

Large and small-scale structures and the dust energy balance problem in spiral galaxies

SKIRT: Hybrid parallelization of radiative transfer simulations


[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Clustering based Point Cloud Representation Learning for 3D Analysis

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models


Time Series Initialization of Buildings

Bottom-up energy supply optimization of a national building stock

The role of hydrogen in German residential buildings


Model to evaluate emissions of cars


fastACI toolbox: the MATLAB toolbox for investigating auditory perception using reverse correlation.

A microscopic investigation of the effect of random envelope fluctuations on phoneme-in-noise perception

Raw and post-processed data for the microscopic investigation of the effect of random envelope fluctuations on phoneme-in-noise perception

Zenodo (CERN European Organization for Nuclear Research)


AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

Team ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

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

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages


A Java library for bigraphical reactive systems.

Towards a Formal Model for Composable Container Systems

A CSP implementation of the bigraph embedding problem

A CSP implementation of the directed bigraph embedding problem


Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ).

Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale

The “Walk” towards the UN Sustainable Development Goals: Does Mandated “Talk” through NonFinancial Disclosure Affect Companies’ Financial Performance?

Estrogen receptor 1 gene polymorphisms (PvuII and XbaI) are associated with type 2 diabetes in Palestinian women

Pathogen evasion of social immunity

Tree Diversity, Initial Litter Quality, and Site Conditions Drive Early-Stage Fine-Root Decomposition in European Forests

Immune Cell Associations with Cancer Risk

Altered structural brain asymmetry in autism spectrum disorder: large-scale analysis via the ENIGMA Consortium

Analysis of fungal genomes reveals commonalities of intron loss/gain and functions in intron-poor species

Extra food provisioning does not affect behavioral lateralization in nestling lesser kestrels


Learning Transferable Visual Models From Natural Language Supervision

Teaching CLIP to Count to Ten


[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

SpreadsheetBench: Towards Challenging Real World Spreadsheet
  Manipulation


Data on energy by Our World in Data

PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa


A curated list of algorithms and papers for auditing black-box algorithms.

Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization

PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020

Identifying the Machine Learning Family from Black-Box Models


Additional exercises and data for EE364a. No solutions; for public consumption.

Markowitz Portfolio Construction at Seventy

A Simple Method for Predicting Covariance Matrices of Financial Returns

Alternating Subgradient Methods for Convex-Concave Saddle-Point Problems


SemEval 2024 Task 1 : Textual Semantic Relatedness

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages

LLMs Are Few-Shot In-Context Low-Resource Language Learners

SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages


source code for google earth engine mapping routines

Mapping the world's coral reefs using a global multiscale earth observation framework

Remote Sensing in Ecology and Conservation

Reef Cover, a coral reef classification for global habitat mapping from remote sensing

Reef Cover: a coral reef classification to guide global habitat mapping from remote sensing

Cloud Processing for Simultaneous Mapping of Seagrass Meadows in Optically Complex and Varied Water


pathfindR: Enrichment Analysis Utilizing Active Subnetworks

pathfindR: An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks

pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks

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

The microRNA-mediated gene regulatory network in the hippocampus and hypothalamus of the aging mouse


Large scale ice-flow model

Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2)

The tipping points and early warning indicators for Pine Island Glacier, West Antarctica

Two-timescale response of a large Antarctic ice shelf to climate change

Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice shelf geometry

Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica

Nunataks as barriers to ice flow: implications for palaeo ice sheet reconstructions


Package for processing and analyzing glycans and their role in biology.

Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions.

Glycowork: A Python package for glycan data science and machine learning

The Role of Fucose-Containing Glycan Motifs Across Taxonomic Kingdoms

Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy


Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Collecting complex activity datasets in highly rich networked sensor environments

International Conference on Networked Sensing Systems

Transition-Aware Human Activity Recognition Using Smartphones

Smart Devices are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition

SENSYS'15: PROCEEDINGS OF THE 13TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS

On-body localization of wearable devices: An investigation of position-aware activity recognition

IEEE International Conference on Pervasive Computing and Communications

Wearables in the wet lab: a laboratory system for capturing and guiding experiments

Tutorial on Deep Learning for Human Activity Recognition


Lectures for INFO8010 Deep Learning, ULiège

Deep Residual Learning for Image Recognition

Attention Is All You Need

YOLO9000: Better, Faster, Stronger

Denoising Diffusion Probabilistic Models

High-Resolution Image Synthesis with Latent Diffusion Models

Understanding deep learning requires rethinking generalization

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Evaluating Large Language Models Trained on Code

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

Discovering Symbolic Models from Deep Learning with Inductive Biases


Extended state-space SIR epidemiological models

Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

A comparison of five epidemiological models for transmission of SARS-CoV-2 in India

New Approach to Policy Effectiveness for Covid-19 and Factors Influence Policy Effectiveness


FluSight Forecast Submissions

Prediction of infectious disease epidemics via weighted density ensembles

Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016

Near-term forecasts of influenza-like illness: An evaluation of autoregressive time series approaches

Accurate regional influenza epidemics tracking using Internet search data

The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research

Improving probabilistic infectious disease forecasting through coherence


C++/python library for simulating FRB's and pulsars

The First CHIME/FRB Fast Radio Burst Catalog

A bright, high rotation-measure FRB that skewers the M33 halo

An Injection System for the CHIME/FRB Experiment

A CHIME/FRB Study of Burst Rate and Morphological Evolution of the Periodically Repeating FRB 20180916B

Comprehensive Bayesian analysis of FRB-like bursts from SGR 1935+2154 observed by CHIME/FRB

Flux Calibration of CHIME/FRB Intensity Data


Large suite of N-body simulations

Constraining M-nu with the bispectrum. Part I. Breaking parameter degeneracies

Journal of Cosmology and Astroparticle Physics

Constraining M-nu with the bispectrum. Part II. The information content of the galaxy bispectrum monopole

Nearest neighbour distributions: New statistical measures for cosmological clustering

A Lagrangian perturbation theory in the presence of massive neutrinos

Learning neutrino effects in Cosmology with Convolutional Neural Networks

What can we learn by combining the skew spectrum and the power spectrum?

Anisotropic halo assembly bias and redshift-space distortions

Effective halo model: Creating a physical and accurate model of the matter power spectrum and cluster counts

Weighing neutrinos with the halo environment

Clustering in massive neutrino cosmologies via Eulerian Perturbation Theory


[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection

F2DNet: Fast Focal Detection Network for Pedestrian Detection

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems


Geomorph is a software package for performing all stages of geometric morphometric shape analysis of landmark points and curves in 2-and-3-dimensions as well as 3D surfaces in the R statistical computing environment. This repository is dedicated to providing stable and beta versions between CRAN uploads

Photographic database of the European cave salamanders, genus Hydromantes

Integrative taxonomic revision of the Ethiopian endemic rodent genus Stenocephalemys (Muridae: Murinae: Praomyini) with the description of two new species

Updating salamander datasets with phenotypic and stomach content information for two mainland Speleomantes

3D Geometric Morphometrics Reveals Convergent Character Displacement in the Central European Contact Zone between Two Species of Hedgehogs (Genus Erinaceus)

Animals : an open access journal from MDPI

Common-garden comparison of relative survival and fitness-related traits of wild, farm, and hybrid Atlantic salmon Salmo salar parr in nature

Better sturdy or slender? Eurasian otter skull plasticity in response to feeding ecology

The first Miocene fossils from coastal woodlands in the southern East African Rift

Six new species of Pristimantis (Anura: Strabomantidae) from Llanganates National Park and Sangay National Park in Amazonian cloud forests of Ecuador

Bergmann’s Rule under Rocks: Testing the Influence of Latitude and Temperature on a Chiton from Mexican Marine Ecoregions


GPU Framework for Radio Astronomical Image Synthesis

Dust Unveils the Formation of a Mini-Neptune Planet in a Protoplanetary Ring

Long Baseline Observations of the HD 100546 Protoplanetary Disk with ALMA

Multi-GPU maximum entropy image synthesis for radio astronomy

Spirals and Clumps in V960 Mon: Signs of Planet Formation via Gravitational Instability around an FU Ori Star?

Visualizing the Kinematics of Planet Formation

Radio-continuum decrements associated to shadowing from the central warp in transition disc DoAr44


Code for "On the Utility of Learning about Humans for Human-AI Coordination"

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

A Hierarchical Approach to Population Training for Human-AI Collaboration

Select to Perfect: Imitating desired behavior from large multi-agent data


Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Beyond NDCG: Behavioral Testing of Recommender Systems with RecList

EvalRS: a Rounded Evaluation of Recommender Systems

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

Triplet Losses-based Matrix Factorization for Robust Recommendations

Item-based Variational Auto-encoder for Fair Music Recommendation


Open source lung ultrasound (LUS) data collection initiative for COVID-19.

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19

Role of Artificial Intelligence in COVID-19 Detection

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

L2 Accelerating COVID-19 differential diagnosis with explainable ultrasound image analysis: an AI tool

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review


A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Learning Transferable Architectures for Scalable Image Recognition

Neural Architecture Search with Reinforcement Learning

Regularized Evolution for Image Classifier Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

Efficient and Robust Automated Machine Learning

Tune: A Research Platform for Distributed Model Selection and Training

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


QuPath - Open-source bioimage analysis for research

CD11c-CD8 Spatial Cross Presentation: A Novel Approach to Link Immune Surveillance and Patient Survival in Soft Tissue Sarcoma

Regulatory FOXP3+ T cells in uterine sarcomas are associated with favorable prognosis, low extracellular matrix expression and reduced YAP activation


This is the official code repository for MUSIC, a (3+1)D hydrodynamic code package for relativistic heavy-ion collisions

Running the gamut of high energy nuclear collisions

Beam-energy dependence of the production of light nuclei in Au + Au collisions

Deuteron production in AuAu collisions at
sNN=7–200
 GeV via pion catalysis

3D structure of anisotropic flow in small collision systems at energies available at the BNL Relativistic Heavy Ion Collider

Resonance production in PbPb collisions at 5.02 TeV via hydrodynamics and hadronic afterburner

Impact of fluctuating initial conditions on bottomonium suppression in 5.02 TeV heavy-ion collisions

Non-equilibrium evolution of quarkonium in medium in the open quantum system approach


AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows

Training Language Model Agents without Modifying Language Models


Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

A Survey of Deep Reinforcement Learning in Video Games

The Atari Grand Challenge Dataset

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Distilling the Knowledge in a Neural Network

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

A Comprehensive Analysis of Adapter Efficiency

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models


Quantum Technology Toolbox https://qtt.readthedocs.io/

Computing with spin qubits at the surface code error threshold

Qubits made by advanced semiconductor manufacturing

Nagaoka ferromagnetism observed in a quantum dot plaquette

Loading a quantum-dot based “Qubyte” register

Electron cascade for distant spin readout


THIS REPOSITORY HAS BEEN MOVED TO GITLAB

An Architecture-Tracking Approach to Evaluate a Modular and Extensible Flight Software for CubeSat Nanosatellites

Systematic Fuzz Testing Techniques on a Nanosatellite Flight Software for Agile Mission Development


THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.

TurboTransformers: An Efficient GPU Serving System For Transformer Models

A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Snap ML: A Hierarchical Framework for Machine Learning

Specifying and Testing GPU Workgroup Progress Models

Proceedings of the ACM on Programming Languages

MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing

MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing

ACM Transactions on Architecture and Code Optimization (TACO)


Read-only Git mirror of the Mercurial gecko repositories at https://hg.mozilla.org. How to contribute: https://firefox-source-docs.mozilla.org/contributing/contribution_quickref.html

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

Characterizing and Detecting Configuration Compatibility Issues in Android Apps

Characterizing Buffer Overflow Vulnerabilities in Large C/C++ Projects

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Friend or Foe Inside? Exploring In-Process Isolation to Maintain Memory Safety for Unsafe Rust


On-device wake word detection powered by deep learning

Robot System Assistant (RoSA): Towards Intuitive Multi-Modal and Multi-Device Human-Robot Interaction

LookOut! Interactive Camera Gimbal Controller for Filming Long Takes

Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning


Project is in active development and has been moved to the EthereumJS monorepo.

Scalable and Privacy-preserving Design of On/Off-chain Smart Contracts

Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts


Named Data Networking Forwarding Daemon

Sovereign: Self-contained Smart Home with Data-centric Network and Security

Expect More from the Networking: DDoS Mitigation by FITT in Named Data Networking

A PEKS-Based NDN Strategy for Name Privacy

Named Data Networking for Genomics Data Management and Integrated Workflows

A Quadtree-based synchronization protocol for inter-server game state synchronization

NDNSD: Service Publishing and Discovery in NDN


COVID19 case numbers of Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README.

Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland

Reproductive number of the COVID-19 epidemic in Switzerland with a focus on the Cantons of Basel-Stadt and Basel-Landschaft.

COVID-19 as a window of opportunity for cycling: Evidence from the first wave

Early peak and rapid decline of SARS-CoV-2 seroprevalence in a Swiss metropolitan region

Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy

A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics

Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe

Time is of the essence: containment of the SARS-CoV-2 epidemic in Switzerland from February to May 2020

The impact of face-mask mandates on all-cause mortality in Switzerland: a quasi-experimental study


XGBoost: A Scalable Tree Boosting System

Real-Time Bidding Benchmarking with iPinYou Dataset

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

Cross-Device Tracking: Matching Devices and Cookies

Evaluating Doctor Performance: Ordinal Regression-Based Approach

Integration Analysis of Single‐Cell Multi‐Omics Reveals Prostate Cancer Heterogeneity

Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge


Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.

"Do this! Do that!, And nothing will happen" Do specifications lead to securely stored passwords?

High-Level Cryptographic Abstractions

Proceedings of the 14th ACM SIGSAC Workshop on Programming Languages and Analysis for Security

OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics

ACM Transactions on Software Engineering and Methodology

CryptMPI: A Fast Encrypted MPI Library

Zur Benutzbarkeit und Verwendung von API-Dokumentationen

cryptolib: Comparing and selecting cryptography libraries

Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte


⚠(OBSOLETE) Curated applications for Kubernetes

Container-based bioinformatics with Pachyderm

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

Portable Learning Environments for Hands-On Computational Instruction

Why is the LSST Science Platform built on Kubernetes?


[EOL] Compute Resource Usage Analysis and Monitoring of Container Clusters

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

Design, monitoring, and testing of microservices systems: The practitioners’ perspective

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

SGX-Aware Container Orchestration for Heterogeneous Clusters

International Conference on Distributed Computing Systems

HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling

Detecting and Localizing Anomalies in Container Clusters Using Markov Models

CONSERVE: A framework for the selection of techniques for monitoring containers security

A Benchmarking application on Workload and Performance forecasting of micro services

Türk bilgisayar ve matematik eğitimi dergisi


Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow"  https://openreview.net/pdf?id=SkgsACVKPH

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Progressive Skeletonization: Trimming more fat from a network at initialization

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

FreezeNet: Full Performance by Reduced Storage Costs

Towards Structured Dynamic Sparse Pre-Training of BERT

COPS: Controlled Pruning Before Training Starts


Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts

Natural Language Understanding and Intelligent Applications

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

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

Neural Chinese Word Segmentation as Sequence to Sequence Translation


[SIGGRAPH Asia 2024] Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing

A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control

Proceedings of the ACM on Computer Graphics and Interactive Techniques

Composite Motion Learning with Task Control

AdaptNet: Policy Adaptation for Physics-Based Character Control


Neural Relation Understanding: neural cardinality estimators for tabular data

MADE: Masked Autoencoder for Distribution Estimation

Deep Unsupervised Cardinality Estimation

Are We Ready For Learned Cardinality Estimation?

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Conditional Generative Model Based Predicate-Aware Query Approximation

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

ReStore -- Neural Data Completion for Relational Databases


Source code for GlorIA models pre-training.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

GlórIA – A Generative and Open Large Language Model for Portuguese


Code for the Cardiac MRI Reconstruction Challenge 2024 (CMRxRecon2024)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting
  Universal Machine Learning for Accelerated Cardiac MRI

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI


The Pseudo-Boolean Solver MiniSat+

Not all FPRASs are equal: demystifying FPRASs for DNF-counting

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

Encoding Linear Constraints into SAT

Encoding Cardinality Constraints using Generalized Selection Networks


Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild


Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder

A Unified View of Differentially Private Deep Generative Modeling

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Rational Recurrences

Recurrently Controlled Recurrent Networks

Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units


Common repo for our ongoing research on motion forecasting for self-driving

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Motion Transformer with Global Intention Localization and Local Movement Refinement

MPA: MultiPath++ Based Architecture for Motion Prediction

RedMotion: Motion Prediction via Redundancy Reduction

Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers

JointMotion: Joint Self-supervision for Joint Motion Prediction


DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data


Large-Scale Differentiable Causal Discovery of Factor Graphs

Stable Differentiable Causal Discovery


Ultra-efficient taxonomic mapping of NGS data

taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time

Feeding strategy shapes gut metagenomic enrichment and functional specialization in captive lemurs

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


Unofficial implementation of the paper "MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition" by Bhunia et al. (2021).

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Full Page Handwriting Recognition via Image to Sequence Extraction


Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data

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

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data


Exploiting BERT to Improve Aspect-Based Sentiment Analysis Performance on Persian Language

Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian

Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

GSLB: The Graph Structure Learning Benchmark

Combating Bilateral Edge Noise for Robust Link Prediction


STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization

What if Neural Networks had SVDs?

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted ℓ_1-ℓ_1 Minimization: Architecture Design and Generalization Analysis


Supervised Discrete Hashing

Fast Supervised Discrete Hashing and its Analysis

Learning Binary Semantic Embedding for Histology Image Classification and Retrieval


Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

Revisiting Pre-Trained Models for Chinese Natural Language Processing

PERT: Pre-training BERT with Permuted Language Model

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context

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

CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations


Topic Model based on Pretrained Sentence Embeddings (with BERT)

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Topic Modeling based on Keywords and Context

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences


PyTorch implementation of "MoCoViT: Mobile Convolutional Vision Transformer"

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

GhostNet: More Features from Cheap Operations


Classifier based mutual information, conditional mutual information estimation; conditional independence testing

CCMI : Classifier based Conditional Mutual Information Estimation

Diffeomorphic Information Neural Estimation

Inferring functional connectivity through graphical directed information


Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

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

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

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

DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs


info and docs for the Wright Lab

Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells

Genomic and transcriptomic studies on flavonoid biosynthesis in Lagerstroemia indica

Giant Fern Genomes Show Complex Evolution Patterns: A Comparative Analysis in Two Species of Tmesipteris (Psilotaceae)

International journal of molecular sciences


Neural Paiters

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

A Neural Algorithm of Artistic Style

Neural Painters: A learned differentiable constraint for generating brushstroke paintings


Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning

Recent Deep Learning Methodology Development for RNA-RNA Interaction Prediction

Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling


One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

The DeepFake Detection Challenge (DFDC) Dataset

A Convolutional LSTM based Residual Network for Deepfake Video Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


Online Continual Learning through Mutual Information Maximization

International Conference on Machine Learning

Online Prototype Learning for Online Continual Learning

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation

Online Continual Learning via Logit Adjusted Softmax


Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

Continuous control with deep reinforcement learning

Reduced Policy Optimization for Continuous Control with Hard Constraints


Official implementation of MINDE: Mutual Information Neural Diffusion Estimation

Beyond Normal: On the Evaluation of Mutual Information Estimators


[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Provable Training for Graph Contrastive Learning


A wind turbine digital twin based on YAMS

Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations

A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Flexible multibody dynamics using joint coordinates and the Rayleigh‐Ritz approximation: The general framework behind and beyond Flex


Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

Feature Denoising for Improving Adversarial Robustness

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Adversarial Transformation Networks: Learning to Generate Adversarial Examples


Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

A Simple Framework for Contrastive Learning of Visual Representations

Large Batch Training of Convolutional Networks

Mini-Batch Optimization of Contrastive Loss


C code for auto and cross power spectra evaluation.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

Monthly Notices of the Royal Astronomical Society

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Consistency of effective field theory analyses of the BOSS power spectrum

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

BOSS full-shape analysis from the EFTofLSS with exact time dependence

Cosmic void exclusion models and their impact on the distance scale measurements from large scale structure

DESI Mock Challenge: Constructing DESI galaxy catalogues based on FastPM simulations

Void BAO measurements on quasars from eBOSS

Monthly notices of the Royal Astronomical Society


Calculates optimum interplanetary trajectories visitng a specifed sequence of planets or other celestial bodies.

Project Lyra: Catching 1I/‘Oumuamua–Using Nuclear Thermal Rockets

Project Lyra: Catching 1I/'Oumuamua -- Using Laser Sailcraft in 2030

Intermediate Points for Missions to Interstellar Objects Using Optimum Interplanetary Trajectory Software

Project Lyra: The Way to Go and the Launcher to Get There


Cross-lingual image captioning

Adding Chinese Captions to Images

International Conference on Multimedia Retrieval

Fluency-Guided Cross-Lingual Image Captioning

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

Harvesting Deep Models for Cross-Lingual Image Annotation

PROCEEDINGS OF THE 15TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI)


Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency


Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning

A Differential Entropy Estimator for Training Neural Networks


Type inference algorithms and intuitionistic propositional theorem provers solving type inhabitation problems

Abductive Reasoning in Intuitionistic Propositional Logic via Theorem Synthesis

Modality Definition Synthesis for Epistemic Intuitionistic Logic via a Theorem Prover


Cantù Lab @ UC Davis - Annotation pipeline - EVM based

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

HiFi chromosome-scale diploid assemblies of the grape rootstocks 110R, Kober 5BB, and 101-14 Mgt

Diploid genome assembly of the Malbec grapevine cultivar enables haplotype-aware analysis of transcriptomic differences underlying clonal phenotypic variation


Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning


Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.


Code for text augmentation method leveraging large-scale language models

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

Learning a Deep Listwise Context Model for Ranking Refinement

International ACM SIGIR Conference on Research and Development in Information Retrieval

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

A Domain Generalization Perspective on Listwise Context Modeling


Extract the PAE & pLDDT value of Alphafold2 from .pkl to .png, .csv & .pdb file.

Invasive Californian death caps develop mushrooms unisexually and bisexually

bioRxiv : the preprint server for biology

The two Gtsf paralogs in silkworms orthogonally activate their partner PIWI proteins for target cleavage

Comparative transcriptomic analysis delineates adaptation strategies of Rana kukunoris toward cold stress on the Qinghai-Tibet Plateau


Supervised Contrastive Learning

SimCSE: Simple Contrastive Learning of Sentence Embeddings

SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations


pywda Python package for simple access to world's protected areas


"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

Pre-training Transformers for Knowledge Graph Completion


U-Net: Convolutional Networks for Biomedical Image Segmentation

Aggregated Residual Transformations for Deep Neural Networks

Hypercolumns for Object Segmentation and Fine-grained Localization

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Automatic salt deposits segmentation: A deep learning approach


Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints

Optimal Survival Trees: A Dynamic Programming Approach

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming

Interpretable Decision Tree Search as a Markov Decision Process

Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees


Adaptive depth-controlled bidirecional diffusion

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

Improved Denoising Diffusion Probabilistic Models

Few-shot Image Generation with Mixup-based Distance Learning


[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models

Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer


Knowledge-based Identification of Pathway Enzymes (KIPEs) performs an automatic annotation of the flavonoid biosynthesis steps in a new transcriptome of genome sequence assembly.

Automatic Identification of Players in the Flavonoid Biosynthesis with Application on the Biomedicinal Plant Croton tiglium

Metabolite Profiling and Transcriptome Analysis Provide Insight into Seed Coat Color in Brassica juncea

KIPEs3: Automatic annotation of biosynthesis pathways

Transcriptome Sequence Reveals Candidate Genes Involving in the Post-Harvest Hardening of Trifoliate Yam Dioscorea dumetorum

Integrative Analysis of Metabolome and Transcriptome Identifies Potential Genes Involved in the Flavonoid Biosynthesis in Entada phaseoloides Stem


A collection of drug discovery, classification and representation learning papers with deep learning.

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

Applications of machine learning in drug discovery and development

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

Journal of chemical information and modeling

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Deep-Learning-Based Drug-Target Interaction Prediction.

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation

Boosting Docking-Based Virtual Screening with Deep Learning

CGBVS‐DNN: Prediction of Compound‐protein Interactions Based on Deep Learning


Ensemble learning related books, papers, videos, and toolboxes

Ensemble learning: A survey

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

LSCP: Locally Selective Combination in Parallel Outlier Ensembles

Society for Industrial and Applied Mathematics eBooks

An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Pacific-Asia Conference on Knowledge Discovery and Data Mining


SfM Flow: A comprehensive toolset for the evaluation of 3D reconstruction pipelines

Evaluating the Performance of Structure from Motion Pipelines

A Blender plug-in for comparing Structure from Motion pipelines

International Conference on Consumer Electronics - Berlin


Systematic generalization test for CLEVR

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Transformer Module Networks for Systematic Generalization in Visual Question Answering


Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"

Model-agnostic out-of-distribution detection using combined statistical tests

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator


BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths


[NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale


Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"

Deep Residual Learning for Image Recognition

Natural Adversarial Examples

Working hard to know your neighbor's margins: Local descriptor learning loss

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features


Data split we use during the ASVspoof 2019 challenge

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Subband modeling for spoofing detection in automatic speaker verification

Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification


Tunisian Sentiment Analysis Corpus.

A review of sentiment analysis research in Arabic language

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments

Proceedings of the Third Arabic Natural Language Processing Workshop

Learning Word Representations for Tunisian Sentiment Analysis

ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

COTA 2.0: an Automatic Corrector of Tunisian Arabic Social Media Texts

Jordanian Journal of Computers and Information Technology


Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction

Counterfactual Learning on Graphs: A Survey

Counterfactual Graph Learning for Link Prediction.

Data Augmentation for Graph Data: Recent Advancements


Test to see how effectively D-Wave's native QUBO problem can be solved in software

Benchmarking a quantum annealing processor with the time-to-target metric

Performance of a quantum annealer on range-limited constraint satisfaction problems

On the emerging potential of quantum annealing hardware for combinatorial optimization

Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods

Evaluating Ising Processing Units with Integer Programming

Boosting quantum annealer performance via sample persistence

The potential of quantum annealing for rapid solution structure identification


A realistic simulator of Active Directory domains

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Limited Query Graph Connectivity Test

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs


Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.

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

Autoencoding beyond pixels using a learned similarity metric

BEGAN: Boundary Equilibrium Generative Adversarial Networks

Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions


It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]

Generative Low-bitwidth Data Free Quantization

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression


A Bert2Bert model which able to summarize articles!

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback

ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization


Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)

Partial Adversarial Domain Adaptation

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


This repository contains 47,398 smart contracts extracted from the Ethereum network.

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

Zenodo (CERN European Organization for Nuclear Research)

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart
  Contracts

Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?

DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts


Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for ICML paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)

Masked Autoencoders Are Scalable Vision Learners

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders


Mode Connectivity and Fast Geometric Ensembles in PyTorch

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Improving Generalization in Federated Learning by Seeking Flat Minima

Directional Pruning of Deep Neural Networks

Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks

Collective Learning by Ensembles of Altruistic Diversifying Neural Networks


Add noise to your text, can be used to improve synthetic training corpus for Neural Machine Translation

Attention Is All You Need

Understanding Back-Translation at Scale

Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation


A python module for word inflections designed for use with spaCy.

Gender-Inclusive Grammatical Error Correction through Augmentation

SimpLex: a lexical text simplification architecture

Automated Generation of Multiple-Choice Cloze Questions for Assessing
  English Vocabulary Using GPT-turbo 3.5

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries

Annual Meeting of the Association for Computational Linguistics


MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Predicting the Non-Deterministic Response of a Micro-Scale Mechanical Model Using Generative Adversarial Networks

Serial Decoders-Based Auto-Encoders for Image Reconstruction


Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Detecting AutoAttack Perturbations in the Frequency Domain


Versatile Generative Language Model

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation

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


A repository for the development of data analysis tools for replica exchange molecular dynamics (REMD) simulations

Free Energy Perturbation Hamiltonian Replica-Exchange Molecular Dynamics (FEP/H-REMD) for Absolute Ligand Binding Free Energy Calculations

Journal of chemical theory and computation

Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering

Optimization of Umbrella Sampling Replica Exchange Molecular Dynamics by Replica Positioning.

Ensemble-Based Replica Exchange Alchemical Free Energy Methods: The Effect of Protein Mutations on Inhibitor Binding

Adaptive Biasing Combined with Hamiltonian Replica Exchange to Improve Umbrella Sampling Free Energy Simulations

Efficient Sampling and Characterization of Free Energy Landscapes of Ion-Peptide Systems

On-line Optimization of Hamiltonian Replica Exchange Simulations


Context-Based-Question-Answering

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

CamemBERT: a Tasty French Language Model

Meeting of the Association for Computational Linguistics


A Windows Graphical Platform for Batch Manipulation of Tremendous Amount of Sequence Data

FasParser: a package for manipulating sequence data

FasParser2: a graphical platform for batch manipulation of tremendous amount of sequence data

Whole-Genome Sequencing and Annotation of the Yeast Clavispora santaluciae Reveals Important Insights about Its Adaptation to the Vineyard Environment


Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.

Offline Meta-Reinforcement Learning with Online Self-Supervision

Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies

Offline Meta Learning of Exploration

Adapting to Mixing Time in Stochastic Optimization with Markovian Data


Transformer based Turkish language models

Impact of Tokenization on Language Models: An Analysis for Turkish

Ad Text Classification with Transformer-Based Natural Language Processing Methods

A Twitter Corpus for Named Entity Recognition in Turkish

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Auto-tagging of Short Conversational Sentences using Transformer Methods


rGAN: Label-Noise Robust Generative Adversarial Networks

Conditional Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Robustness of Conditional GANs to Noisy Labels


Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Regularizing and Optimizing LSTM Language Models

Creative GANs for generating poems, lyrics, and metaphors