Module for generating simulated quasar spectra

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey:
  Baryon acoustic oscillations with Lyman-α forests

The Faint End of the z=5 Quasar Luminosity Function from the CFHTLS

Two more, bright, z > 6 quasars from VST ATLAS and WISE

The Extremely Luminous Quasar Survey in the Pan-STARRS 1 Footprint (PS-ELQS)

The Extremely Luminous Quasar Survey in the SDSS footprint. II. The North Galactic Cap Sample

A Mock Catalog of Gravitationally-lensed Quasars for the LSST Survey

Paving the way forEuclid and JWST via probabilistic selection of high-redshift quasars

When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multiband Imaging Data


Corruption and Perturbation Robustness (ICLR 2019)

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Improving robustness against common corruptions by covariate shift adaptation

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Masked Siamese Networks for Label-Efficient Learning

Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

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

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

Boosting Adversarial Training with Hypersphere Embedding

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification


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

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

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

Visual Programming for Text-to-Image Generation and Evaluation

Holistic Evaluation of Text-To-Image Models

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


Computing landscape metrics in the Python ecosystem


Magicoder: Source Code Is All You Need

StarCoder: may the source be with you!

Instruction Tuning for Large Language Models: A Survey

Magicoder: Source Code Is All You Need


Quality control tool on metagenomic and metatranscriptomic sequencing data, especially data from microbiome experiments.

Reconstruction of ancient microbial genomes from the human gut

Maternal fecal microbiome predicts gestational age, birth weight and neonatal growth in rural Zimbabwe.

Effect of Fecal Microbiota Transplantation Combined With Mediterranean Diet on Insulin Sensitivity in Subjects With Metabolic Syndrome

One-year supplementation with Lactobacillus reuteri ATCC PTA 6475 counteracts a degradation of gut microbiota in older women with low bone mineral density

Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching

Signature of Alzheimer’s Disease in Intestinal Microbiome: Results From the AlzBiom Study

Assessing saliva microbiome collection and processing methods

Characterization of Bacterial Community Dynamics of the Human Mouth Throughout Decomposition via Metagenomic, Metatranscriptomic, and Culturing Techniques

Diverse recruitment to a globally structured atmospheric microbiome

Comparative Genomic and Metagenomic Investigations of the Corynebacterium tuberculostearicum Species Complex Reveals Potential Mechanisms Underlying Associations To Skin Health and Disease


Implementation of Dreamer v3 in pytorch.

Mastering Diverse Domains through World Models

World Models via Policy-Guided Trajectory Diffusion


MQT Predictor - A MQT tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Predicting Good Quantum Circuit Compilation Options

Compiler Optimization for Quantum Computing Using Reinforcement Learning


Benchmarks for the Optimal Power Flow Problem

PowerModels.jl: An Open-Source Framework for Exploring Power Flow
  Formulations

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Learning for DC-OPF: Classifying active sets using neural nets

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets

Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications

Linear/quadratic programming-based optimal power flow using linear power flow and absolute loss approximations

International journal of electrical power & energy systems

Statistical Learning For DC Optimal Power Flow

Inexact convex relaxations for AC optimal power flow: Towards AC feasibility

Implied Constraint Satisfaction in Power System Optimization: The Impacts of Load Variations

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems


LLM finetuned for medical question answering

LLaMA: Open and Efficient Foundation Language Models

HuatuoGPT, towards Taming Language Model to Be a Doctor

Towards Mitigating Hallucination in Large Language Models via
  Self-Reflection

Health-LLM: Large Language Models for Health Prediction via Wearable
  Sensor Data


This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

PolarDet: a fast, more precise detector for rotated target in aerial images

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image

Towards Accurate Oriented Object Detection in Aerial Images with Adaptive Multi-level Feature Fusion

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications

MEAD: a Mask-guidEd Anchor-free Detector for oriented aerial object detection

ROPDet: real-time anchor-free detector based on point set representation for rotating object

An internal-external optimized convolutional neural network for arbitrary orientated object detection from optical remote sensing images

AROA: Attention Refinement One-Stage Anchor-Free Detector for Objects in Remote Sensing Imagery

CGP Box: An effective direction representation strategy for oriented object detection in remote sensing images


Developing brain Region Annotation With Expectation-Maximization

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System

Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Regional Differences in Gamma-Aminobutyric Acid and Glutamate Concentrations in the Healthy Newborn Brain

Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project


Feature selection in neural networks

LassoNet: A Neural Network with Feature Sparsity

Where to Pay Attention in Sparse Training for Feature Selection?

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Supervised Feature Selection with Neuron Evolution in Sparse Neural
  Networks

Effective Neural Network L_0 Regularization With BinMask

GCondNet: A Novel Method for Improving Neural Networks on Small
  High-Dimensional Tabular Data

Interpretability with full complexity by constraining feature
  information


Implementation of the HotStuff consensus protocol.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

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

The Availability-Accountability Dilemma and its Resolution via
  Accountability Gadgets

Be Aware of Your Leaders

Performance of EdDSA and BLS Signatures in Committee-Based Consensus

Motorway: Seamless high speed BFT


a tool for designing primer panels for multiplex PCR.

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

bioRxiv : the preprint server for biology

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

medRxiv : the preprint server for health sciences


SpellGCN

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check

Correcting Chinese Spelling Errors with Phonetic Pre-training

Meeting of the Association for Computational Linguistics

CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction

Findings of the Association for Computational Linguistics: ACL 2022

An Error-Guided Correction Model for Chinese Spelling Error Correction

Block the Label and Noise: An N-Gram Masked Speller for Chinese Spell
  Checking


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

The eROSITA Final Equatorial-Depth Survey (eFEDS)

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

Investigating ULX accretion flows and cyclotron resonance in NGC 300 ULX1

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

X-Ray Redshifts of Obscured Chandra Source Catalog AGN

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

Statistical Aspects of X-ray Spectral Analysis


An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases

Modeling Relationships in Referential Expressions with Compositional Modular Networks

Counterfactual Samples Synthesizing for Robust Visual Question Answering

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

Cycle-Consistency for Robust Visual Question Answering

LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

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

Counterfactual Samples Synthesizing and Training for Robust Visual
  Question Answering

General Greedy De-bias Learning


A system to flag anomalous source code expressions by learning typical expressions from training data

ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System
  for Software Control Structures

Are machine programming systems using right source-code measures to select code repositories?


A Collection of BM25 Algorithms in Python

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

A Neural Corpus Indexer for Document Retrieval

DialFact: A Benchmark for Fact-Checking in Dialogue

Extreme Multi-label Learning for Semantic Matching in Product Search

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation
  Systems

Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases

CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example

Patton: Language Model Pretraining on Text-Rich Networks

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media

Coverage-based Example Selection for In-Context Learning


A bridge betwwen the ROS ecosystem and AI Habitat.

Habitat: A Platform for Embodied AI Research

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI


Visibility sampler

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

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

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

A Complete ALMA Map of the Fomalhaut Debris Disk

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

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

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

H2CO distribution and formation in the TW Hya disk

Increased H2CO production in the outer disk around HD 163296

Resolved Millimeter Observations of the HR 8799 Debris Disk


Fast Global Registration

Fast Global Registration

A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration

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

Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration


Python package for dealing with the Halo Model

The galaxy–halo connection in the VIDEO survey at 0.5 < z < 1.7

Monthly Notices of the Royal Astronomical Society

Intensity mapping cross-correlations II: HI halo models including shot noise

Monthly notices of the Royal Astronomical Society

TheHaloMod: An online calculator for the halo model

Extracting H I astrophysics from interferometric intensity mapping

Comparing galaxy clustering in Horizon-AGN simulated light-cone mocks and VIDEO observations

The halo model for cosmology: a pedagogical review

Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XVIII.
  The Dark Matter Halo Mass of Quasars at z∼6


NOSNOC is an open source software package for NOnSmooth Numerical Optimal Control.

NOSNOC: A Software Package for Numerical Optimal Control of Nonsmooth Systems

The Time-Freezing Reformulation for Numerical Optimal Control of
  Complementarity Lagrangian Systems with State Jumps

Continuous Optimization for Control of Hybrid Systems With Hysteresis via Time-Freezing

Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems with Set-Valued Step Functions

Finite Elements with Switch Detection for Numerical Optimal Control of
  Nonsmooth Dynamical Systems with Set-Valued Step Functions

FESD-J: Finite Elements with Switch Detection for numerical optimal control of rigid bodies with impacts and Coulomb friction


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

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

FoodSAM: Any Food Segmentation

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

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


(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

A Baseline for 3D Multi-Object Tracking

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence


R functions for processing individual tree TLS point clouds

Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?


Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

Mice identify subgoal locations through an action-driven mapping process


MIT Language Modeling Toolkit

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary

International Conference on Computational Linguistics

ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German

Workshop on NLP for Similar Languages, Varieties and Dialects

An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation

IEEE International Conference on Software Analysis, Evolution, and Reengineering

NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021

Does Code Review Promote Conformance? A Study of OpenStack Patches

Helion: Enabling a Natural Perspective of Home Automation


Synchrotron Radiation Workshop

WavePropaGator: interactive framework for X-ray free-electron laser optics design and simulations

Sirepo: an open-source cloud-based software interface for X-ray source and optics simulations

Modelling phase imperfections in compound refractive lenses

Propagation of partially coherent radiation using Wigner functions

Recent developments in X-ray lens modelling with SRW

Advances in Computational Methods for X-Ray Optics V

A fast and lightweight tool for partially coherent beamline simulations in fourth-generation storage rings based on coherent mode decomposition


A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

Learning Security Strategies through Game Play and Optimal Stopping

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

A System for Interactive Examination of Learned Security Policies

Automated Security Response through Online Learning with Adaptive Conjectures

Scalable Learning of Intrusion Responses through Recursive Decomposition

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games


Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


Age detection in Tensorflow

Age and Gender Classification using Convolutional Neural Networks

Decoupling "when to update" from "how to update"

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet

Property Inference Attacks Against GANs

Implicit Diversity in Image Summarization


Zero-shot Image-to-Image Translation  [SIGGRAPH 2023]

Zero-shot Image-to-Image Translation

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


Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

CogNet: A Large-Scale Cognate Database

Zenodo (CERN European Organization for Nuclear Research)

A large and evolving cognate database

Using Social Media Background to Improve Cold-start Recommendation Deep Models

A General Method for Event Detection on Social Media

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE journal of selected topics in signal processing

Predicting E-commerce Item Sales With Web Environment Temporal Background


My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias


Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Deep learning with Elastic Averaging SGD

Asynchrony begets Momentum, with an Application to Deep Learning

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics

Accumulated Gradient Normalization

LHC signals of a heavy doublet Higgs as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks

The Journal of high energy physics/The journal of high energy physics


Landmark-based audio fingerprinting

Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents

Attention-Based Audio Embeddings for Query-by-Example

Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting

Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content

Detection and localization of partial audio matches in various application scenarios

Accuracy comparisons of fingerprint based song recognition approaches using very high granularity


Bit-parallel sequence-to-graph alignment

AStarix: Fast and Optimal Sequence-to-Graph Alignment

Fast and optimal sequence-to-graph alignment guided by seeds


SECOND for KITTI/NuScenes object detection

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

What You See is What You Get: Exploiting Visibility for 3D Object Detection

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Range Adaptation for 3D Object Detection in LiDAR


Ranked vaccine peptides for personalized cancer immunotherapy

Main Strategies for the Identification of Neoantigens

Vaxrank: A computational tool for designing personalized cancer vaccines

Computational cancer neoantigen prediction: current status and recent advances

Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs

Abstract A022: Computational pipeline for a personalized genomic vaccine trial


LPIPS metric. pip install lpips

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

NeX: Real-time View Synthesis with Neural Basis Expansion

The Spatially-Correlative Loss for Various Image Translation Tasks

Positional Normalization

Erasing Concepts from Diffusion Models

FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency
  Regularization

Progressive Perception-Oriented Network for Single Image Super-Resolution

Journey Towards Tiny Perceptual Super-Resolution

A Closer Look at Few-shot Image Generation

Generative Adversarial Frontal View to Bird View Synthesis


High-performance Terrain and Hydrology Analysis

A segmentation approach for the reproducible extraction and quantification of knickpoints from river long profiles

Algal growth and weathering crust state drive variability in western Greenland Ice Sheet ice albedo

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

Parallel Priority-Flood depression filling for trillion cell digital elevation models on desktops or clusters

Gerrymandering and Compactness: Implementation Flexibility and Abuse

Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters

Glaciohydraulic seismic tremors on an Alpine glacier

A Procedure for Complete Census Estimation of Rooftop Photovoltaic Potential in Urban Areas

Algal growth and weathering crust structure drive variability in Greenland Ice Sheet ice albedo

India’s Commitments to Increase Tree and Forest Cover: Consequences for Water Supply and Agriculture Production within the Central Indian Highlands


Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

Visual-Language Prompt Tuning with Knowledge-guided Context Optimization

Multitask Vision-Language Prompt Tuning

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP
  for Generic Natural Visual Stimulus Decoding

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts

Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?

Neural Priming for Sample-Efficient Adaptation


Deep Residual Learning for Image Recognition

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

Identity Mappings in Deep Residual Networks

Delving into Transferable Adversarial Examples and Black-box Attacks

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

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

UPSNet: A Unified Panoptic Segmentation Network

Spatially Adaptive Computation Time for Residual Networks

Do Adversarially Robust ImageNet Models Transfer Better?

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


Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Pavian: Interactive analysis of metagenomics data for microbiomics and pathogen identification

New Invasive Nemertean Species (Cephalothrix Simula) in England with High Levels of Tetrodotoxin and a Microbiome Linked to Toxin Metabolism

The Application of Nanopore Sequencing Technology to the Study of Dinoflagellates: A Proof of Concept Study for Rapid Sequence-Based Discrimination of Potentially Harmful Algae

Microbiome Analysis of the Rhizosphere from Wilt Infected Pomegranate Reveals Complex Adaptations in Fusarium—A Preliminary Study

Contamination detection and microbiome exploration with GRIMER

Enhanced leachate phytodetoxification test combined with plants and rhizobacteria bioaugmentation

Diversity of Decomposer Bacteria in Eco Enzyme Fermentation Process of Organic Materials Using Oxford Nanopore Technology (ONT) and its Effectiveness in Inhibiting E-coli in Fish Pond with Water Mineral Soil


FSGAN - Official PyTorch Implementation

FSGAN: Subject Agnostic Face Swapping and Reenactment

Deep Learning for Deepfakes Creation and Detection: A Survey

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

KoDF: A Large-scale Korean DeepFake Detection Dataset

A Review of Image Processing Techniques for Deepfakes

Learning Disentangled Representation for One-shot Progressive Face
  Swapping

Multilingual Audio-Visual Smartphone Dataset And Evaluation


Large-scale generative pretrain of single cell using transformer.

A Deep Dive into Single-Cell RNA Sequencing Foundation Models


Pretty heatmaps

Mitofusins regulate lipid metabolism to mediate the development of lung fibrosis

A Widespread Neurogenic Potential of Neocortical Astrocytes Is Induced by Injury

Sci-fate characterizes the dynamics of gene expression in single cells

SYK coordinates neuroprotective microglial responses in neurodegenerative disease

Targeting JNK pathway promotes human hematopoietic stem cell expansion

Comprehensive analyses reveal TKI-induced remodeling of the tumor immune microenvironment in EGFR/ALK-positive non-small-cell lung cancer

NADH-GOGAT Overexpression Does Not Improve Maize (Zea mays L.) Performance Even When Pyramiding with NAD-IDH, GDH and GS

Population study of the gut microbiome: associations with diet, lifestyle, and cardiometabolic disease

Transcriptomic encoding of sensorimotor transformation in the midbrain

High-frequency head impact causes chronic synaptic adaptation and long-term cognitive impairment in mice


From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

From big to small: Multi-scale local planar guidance for monocular depth estimation

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

On the Pitfalls of Heteroscedastic Uncertainty Estimation with
  Probabilistic Neural Networks

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments

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

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems


customizable pipeline to identify viral sequences from (meta)genomic data

A catalogue of 1,167 genomes from the human gut archaeome

Protocol for the isolation, sequencing, and analysis of the gut phageome from human fecal samples

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing

Current trends in RNA virus detection through metatranscriptome sequencing data


Semi-Supervised Learning, Object Detection, ICCV2021

End-to-End Semi-Supervised Object Detection with Soft Teacher

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in
  Semi-supervised Object Detection

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete
  Annotations


Code release for NeRF (Neural Radiance Fields)

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Neural Sparse Voxel Fields

Volume Rendering of Neural Implicit Surfaces

NeX: Real-time View Synthesis with Neural Basis Expansion

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

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


Poisson Surface Reconstruction

Shape As Points: A Differentiable Poisson Solver

POCO: Point Convolution for Surface Reconstruction

Learning Implicit Templates for Point-Based Clothed Human Modeling

Critical Regularizations for Neural Surface Reconstruction in the Wild

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained

Neural Poisson: Indicator Functions for Neural Fields


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

Frustum PointNets for 3D Object Detection from RGB-D Data

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Rethinking Pseudo-LiDAR Representation

Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards

PointGuard: Provably Robust 3D Point Cloud Classification

Orthogonal Over-Parameterized Training

Learning with Hyperspherical Uniformity

Regularizing Neural Networks via Minimizing Hyperspherical Energy

On The Adversarial Robustness of 3D Point Cloud Classification


NAS-Bench-201 API and Instruction

Deep Residual Learning for Image Recognition

Aggregated Residual Transformations for Deep Neural Networks

NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search

On the insufficiency of existing momentum schemes for Stochastic
  Optimization

How Powerful are Performance Predictors in Neural Architecture Search?

Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares

Training Stronger Baselines for Learning to Optimize

Can GPT-4 Perform Neural Architecture Search?


Low-Power Wireless Bus (LWB) is an adaptive, reliable, and efficient communication protocol for low-power wireless embedded systems, where nodes communicate wirelessly as if they were connected to a shared bus.

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges

Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge

BlueFlood: Concurrent Transmissions for Multi-Hop Bluetooth 5 --
  Modeling and Evaluation

TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]


Unsupervised domain adaptation for conversational speech enhancement using RemixIT

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing

Compute and Memory Efficient Universal Sound Source Separation

Continual Self-Training With Bootstrapped Remixing For Speech Enhancement


KFF Data on Coronavirus

How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19

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

Differential Impact of COVID-19 Risk Factors on Ethnicities in the United States

The efficiency of COVID cases to COVID policies: a robust conditional approach

Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies

The effectiveness of COVID deaths to COVID policies: A robust conditional approach


A collection of structures, force constants and phonon data obtained from first-principles calculations

Anharmonicity in the High-Temperature Cmcm Phase of SnSe: Soft Modes and Three-Phonon Interactions.

Phonon anharmonicity, lifetimes, and thermal transport in CH3NH3PbI3 from many-body perturbation theory

Perspective: Theory and simulation of hybrid halide perovskites

Chemical and Lattice Stability of the Tin Sulfides

The journal of physical chemistry. C, Nanomaterials and interfaces

Microscopic origin of entropy-driven polymorphism in hybrid organic-inorganic perovskite materials

Suppression of lattice thermal conductivity by mass-conserving cation mutation in multi-component semiconductors

Magnetoelastic coupling in the cobalt adipate metal–organic framework from quasi-harmonic lattice dynamics


The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.

Detecting DGA domains with recurrent neural networks and side information

Encrypted and Covert DNS Queries for Botnets: Challenges and Countermeasures

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of network and computer applications

Exploiting statistical and structural features for the detection of Domain Generation Algorithms

Workshop on Information Security Applications

A Compression-Based Method for Detecting Anomalies in Textual Data

A compression based framework for the detection of anomalies in heterogeneous data sources.


Deprecated repository for "Deep Learning with Topological Signatures"

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis


A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

HONEST: Measuring Hurtful Sentence Completion in Language Models

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

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

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies


CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

CIDEr-R: Robust Consensus-based Image Description Evaluation

Analysis of diversity-accuracy tradeoff in image captioning

Goal-driven text descriptions for images


Let us control diffusion models

Interpolating between Images with Diffusion Models

DiffMorpher: Unleashing the Capability of Diffusion Models for Image
  Morphing


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


[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reason for Future, Act for Now: A Principled Framework for Autonomous
  LLM Agents with Provable Sample Efficiency

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations


TheanoLM is a recurrent neural network language modeling tool implemented using Theano

Proceedings of the Annual Conference of the International Speech Communication Association

Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies

IEEE/ACM transactions on audio, speech, and language processing

TheanoLM - An Extensible Toolkit for Neural Network Language Modeling

Code-Switching Language Modeling with Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English


Robust and stable clustering of molecular dynamics simulation trajectories.

Robust Density-Based Clustering To Identify Metastable Conformational States of Proteins

Journal of chemical theory and computation

Hierarchical Folding Free Energy Landscape of HP35 Revealed by Most Probable Path Clustering B

Dynamical coring of Markov state models.


Graphite - Graph-based variant adjudication

Multi-platform discovery of haplotype-resolved structural variation in human genomes

Genome graphs and the evolution of genome inference

De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes


A list of NLP resources focused on event extraction task

EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

Journal of bioinformatics and computational biology

Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

Coreference based event-argument relation extraction on biomedical text

Wide coverage biomedical event extraction using multiple partially overlapping corpora

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

EFFECTIVE BIO-EVENT EXTRACTION USING TRIGGER WORDS AND SYNTACTIC DEPENDENCIES

International Conference on Climate Informatics

Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks

Learning Target-Dependent Sentence Representations for Chinese Event Detection

Exploiting a More Global Context for Event Detection Through Bootstrapping

Using Entity Relation to Improve Event Detection via Attention Mechanism

Natural Language Processing and Chinese Computing


Evaluation of the CNN design choices performance on ImageNet-2012.

Systematic evaluation of convolution neural network advances on the Imagenet

Deep learning in electron microscopy

Machine learning: science and technology

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Analysis and Optimization of Convolutional Neural Network Architectures

One-Way Prototypical Networks


Semi-automated pipeline for lens modelling based on lenstronomy.

TDCOSMO IV: Hierarchical time-delay cosmography -- joint inference of the Hubble constant and galaxy density profiles

Massive elliptical galaxies at z ∼ 0.2 are well described by stars and a Navarro-Frenk-White dark matter halo

SLITRONOMY: Towards a fully wavelet-based strong lensing inversion technique


Simulation framework for customs fraud detection using import declarations.

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection

Customs Fraud Detection in the Presence of Concept Drift

Active Learning for Human-in-the-Loop Customs Inspection


The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer
  Vision

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Abdominal organ segmentation via deep diffeomorphic mesh deformations

Towards liver segmentation in the wild via contrastive distillation

International journal of computer assisted radiology and surgery


Reachability types: tracking aliasing and separation in higher-order functional programs

Proceedings of the ACM on programming languages

Polymorphic Reachability Types: Tracking Freshness, Aliasing, and Separation in Higher-Order Generic Programs

Modeling Reachability Types with Logical Relations

Graph IRs for Impure Higher-Order Languages (Technical Report)


A repository containing the code for speech translation papers.

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

CTC-based Compression for Direct Speech Translation

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Contextualized Translation of Automatically Segmented Speech

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation


Arduino Library for AES Encryption (source based on avr-crypto-lib)

A survey of secure middleware for the Internet of Things

A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things

Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328
  Microcontroller


IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)

Instance Adaptive Self-Training for Unsupervised Domain Adaptation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


MATLAB code for Multidimensional Diffusion MRI

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems

Tensor-valued diffusion MRI in under 3 minutes: An initial survey of
  microscopic anisotropy and tissue heterogeneity in intracranial tumors

Gradient waveform design for tensor-valued encoding in diffusion MRI

Tensor-valued diffusion MRI differentiates cortex and white matter in malformations of cortical development associated with epilepsy

Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter

Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study

Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type

Applying positivity constraints to q-space trajectory imaging: The QTI+ implementation

Meningioma microstructure assessed by diffusion MRI: An investigation of the source of mean diffusivity and fractional anisotropy by quantitative histology


A Python library to parse MediaWiki WikiText

MultiModalQA: Complex Question Answering over Text, Tables and Images

ReasonBERT: Pre-trained to Reason with Distant Supervision

Entity Extraction from Wikipedia List Pages

Information Extraction From Co-Occurring Similar Entities


A toolkit for automated local phylogenomic analyses, or ALPHA

RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

A Draft Sequence of the Neandertal Genome

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

Testing for Ancient Admixture between Closely Related Populations

Evaluating the Use of ABBA–BABA Statistics to Locate Introgressed Loci

The Probability of a Gene Tree Topology within a Phylogenetic Network with Applications to Hybridization Detection

DGEN: A Test Statistic for Detection of General Introgression Scenarios

ALPHA: a toolkit for Automated Local PHylogenomic Analyses


CLASP - Contrastive Language-Aminoacid Sequence Pretraining

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

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Post-hoc Concept Bottleneck Models

Diagnosing and Rectifying Vision Models using Language


High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size


Absorption LIne Software

THE PRIMORDIAL DEUTERIUM ABUNDANCE OF THE MOST METAL-POOR DAMPED Ly alpha SYSTEM

Discovery of the most metal-poor damped Lyman-α system

Monthly Notices of the Royal Astronomical Society

Into the Ly α jungle: exploring the circumgalactic medium of galaxies at z ∼ 4−5 with MUSE

The ACCELERATION programme: I. Cosmology with the redshift drift

A bound on the 12C/13C ratio in near-pristine gas with ESPRESSO

Monthly notices of the Royal Astronomical Society

Artificial intelligence and quasar absorption system modelling; application to fundamental constants at high redshift

Oxygen-enhanced Extremely Metal-poor Damped Lyα Systems: A Signpost of the First Stars?

Mg ii Absorbers in High-resolution Quasar Spectra. I. Voigt Profile Models

Discovery of a Rare Late-type, Low-mass Wolf–Rayet Star in the LMC

A limit on Planck-scale froth with ESPRESSO


This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

Evaluating Differentially Private Machine Learning in Practice

Revisiting Membership Inference Under Realistic Assumptions

Are Attribute Inference Attacks Just Imputation?

Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning

Investigating Membership Inference Attacks under Data Dependencies


Zero-inflated dimensionality reduction algorithm for single-cell data

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Computational approaches for interpreting scRNA-seq data

Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell types

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion


PARTIE is a program to partition sequence read archive (SRA) metagenomics data into amplicon and shotgun data sets. The user-supplied annotations of the data sets can not be trusted, and so PARTIE allows automatic separation of the data.

HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes

TerrestrialMetagenomeDB: a public repository of curated and standardized metadata for terrestrial metagenomes

PARTIE: a partition engine to separate metagenomic and amplicon projects in the Sequence Read Archive

The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes


Docs

Constraints and Benefits of the Blockchain Use for Real Estate and Property Rights

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

Zero-Knowledge Proof-of-Identity: Sybil-Resistant, Anonymous Authentication on Permissionless Blockchains and Incentive Compatible, Strictly Dominant Cryptocurrencies

A Comprehensive Review on Blockchains for Internet of Vehicles:
  Challenges and Directions

HealthyBlock: Blockchain-Based IT Architecture for Electronic Medical Records Resilient to Connectivity Failures

International journal of environmental research and public health

Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology

Decentralized Inverse Transparency with Blockchain

Distributed Ledger Technologies: Research and Practice

Exploring Blockchain Technology through a Modular Lens: A Survey

Publishing and using record-keeping structural information in a blockchain

A Taxonomic Hierarchy of Blockchain Consensus Algorithms: An Evolutionary Phylogeny Approach


USuRPER: Unit-sphere representation periodogram for full spectra

15000 Ellipsoidal Binary Candidates in TESS: Orbital Periods, Binary
  Fraction, and Tertiary Companions

New periodograms separating orbital radial velocities and spectral shape variation


This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language
  Models


An R package to analyze, summarize, and visualize daily streamflow data

Public Health and Prisons: Priorities in the Age of Mass Incarceration

Down-delta hydraulic geometry and its application to the rock record


Gene set scoring for single-cell data

UCell: Robust and scalable single-cell gene signature scoring

Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients

Cancer cell plasticity and MHC-II–mediated immune tolerance promote breast cancer metastasis to lymph nodes

The Journal of experimental medicine/The journal of experimental medicine

Transcriptome network analysis implicates CX3CR1-positive type 3 dendritic cells in non-infectious uveitis


SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Identity Mappings in Deep Residual Networks

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Image Super-Resolution as a Defense Against Adversarial Attacks

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

The Efficacy of SHIELD under Different Threat Models

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks


The SETimes.HR+ Croatian dependency treebank

Multilingual Projection for Parsing Truly Low-Resource Languages

Transactions of the Association for Computational Linguistics

New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian

Universal Dependencies for Croatian (that work for Serbian, too)

Collaborative Development of a Rule-Based Machine Translator between Croatian and Serbian

European Association for Machine Translation Conferences/Workshops

A Legal Perspective on Training Models for Natural Language Processing

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

Regional Linguistic Data Initiative (ReLDI)


JCU DeepFish dataset

A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis

Affinity LCFCN: Learning to Segment Fish with Weak Supervision

Applications of deep learning in fish habitat monitoring: A tutorial and survey


Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research

Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach

Ontology-Driven and Weakly Supervised Rare Disease Identification from
  Clinical Notes

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision

SemEHR: surfacing semantic data from clinical notes in electronic health records for tailored care, trial recruitment, and clinical research

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports


LaTeX labels in Mathematica

A recipe for echoes from exotic compact objects

Relativistic corrections to exclusive x(cJ) + gamma production from e(+)e(-) annihilation

Soft-photon corrections to the Bethe-Heitler process in the γp→l+l−p reaction

Leading order corrections to the Bethe-Heitler process in the γ p → l + l − p reaction


Library for fast spherical harmonic transforms, see http://arxiv.org/abs/1303.4945

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

HAL (Le Centre pour la Communication Scientifique Directe)

Multi-resolution Bayesian CMB component separation through Wiener filtering with a pseudo-inverse preconditioner

The SpECTRE Cauchy-characteristic evolution system for rapid, precise
  waveform extraction

Deep learning simulations of the microwave sky


Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation

LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond

Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings

LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)

Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation

Decomposing Word Embedding with the Capsule Network

Can Word Sense Distribution Detect Semantic Changes of Words?

On the Curious Case of ℓ_2 norm of Sense Embeddings

Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained
  Static Sense Embeddings


GoldenEye Layer 7 (KeepAlive+NoCache) DoS Test Tool

Machine Learning DDoS Detection for Consumer Internet of Things Devices

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset

Trusted Multi-Domain DDoS Detection Based on Federated Learning


viralVerify: viral contig verification tool

Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types

Host interactions of novel Crassvirales species belonging to multiple families infecting bacterial host, Bacteroides cellulosilyticus WH2

bioRxiv : the preprint server for biology

Genome sequencing provides new insights on the distribution of Erwinia amylovora lineages in northern Italy


SNIP: Single-shot Network Pruning based on Connection Sensitivity

Picking Winning Tickets Before Training by Preserving Gradient Flow

Pruning neural networks without any data by iteratively conserving synaptic flow

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

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

FreezeNet: Full Performance by Reduced Storage Costs

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset

Structured Pruning is All You Need for Pruning CNNs at Initialization

NTK-SAP: Improving neural network pruning by aligning training dynamics

Zeroth-Order Topological Insights into Iterative Magnitude Pruning


Hands-On Image Generation with TensorFlow 2.0, published by Packt

Image-to-Image Translation with Conditional Adversarial Networks

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

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

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Self-Attention Generative Adversarial Networks

A Neural Algorithm of Artistic Style

Semantic Image Synthesis with Spatially-Adaptive Normalization

Toward Multimodal Image-to-Image Translation


Physical Symbolic Optimization

Deep Symbolic Regression for Physics Guided by Units Constraints: Toward the Automated Discovery of Physical Laws

Class Symbolic Regression: Gotta Fit 'Em All


Data repository of Project Coswara

Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

COVID-19 open source data sets: a comprehensive survey

DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis

IEEE access : practical innovations, open solutions

AI-Based human audio processing for COVID-19: A comprehensive overview

Zenodo (CERN European Organization for Nuclear Research)

Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

Alexandria Engineering Journal /Alexandria Engineering Journal

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data

Biomedical signal processing and control


Python package to corrupt arbitrary images.

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

Meaningfully Debugging Model Mistakes using Conceptual Counterfactual
  Explanations

Disentangled Variational Information Bottleneck for Multiview Representation Learning

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

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

Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening

Target-Aware Generative Augmentations for Single-Shot Adaptation


python tools to check recourse in linear classification

Actionable Recourse in Linear Classification

Proceedings of the Conference on Fairness, Accountability, and Transparency

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Multi-Objective Counterfactual Explanations

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

On Counterfactual Explanations under Predictive Multiplicity

Strategic Classification Made Practical

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

A Review of the Role of Causality in Developing Trustworthy AI Systems

Coverage-Validity-Aware Algorithmic Recourse


Comparing fairness-aware machine learning techniques.

A comparative study of fairness-enhancing interventions in machine learning

Equalizing Recourse across Groups

FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International journal of artificial intelligence in education

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness

International journal of intelligent systems

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

Fair Adversarial Gradient Tree Boosting

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation

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


A fastai/PyTorch package for unpaired image-to-image translation.

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

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

GANILLA: Generative Adversarial Networks for Image to Illustration Translation

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning


Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Text Recognition in the Wild: A Survey

Total-Text: toward orientation robustness in scene text detection

International journal on document analysis and recognition

Scene Text Detection in Natural Images: A Review

ロボティクス・メカトロニクス講演会講演概要集

All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection

Scene Text Detection Based on Two-Branch Feature Extraction


Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition


VisDA: The Visual Domain Adaptation Challenge

Cycle Self-Training for Domain Adaptation

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

Train/Test-Time Adaptation with Retrieval


Graph Embedding Evaluation / Code and Datasets for  "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"  (Bioinformatics 2020)

Graph embedding on biomedical networks: methods, applications and evaluations

Building the graph of medicine from millions of clinical narratives

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

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

Extracting functional insights from loss-of-function screens using deep link prediction


Neural Code Comprehension: A Learnable Representation of Code Semantics

Convolutional Neural Networks over Tree Structures for Programming Language Processing

A Literature Study of Embeddings on Source Code

How could Neural Networks understand Programs?


Guidelines.

Shared functional specialization in transformer-based language models and the human brain

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness,
  Consistency, and Credibility

High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications

Towards Unsupervised Content Disentanglement in Sentence Representations
  via Syntactic Roles

Generalized Optimal Linear Orders

Event and Entity Extraction from Generated Video Captions


Creative Commons Attribution 4.0 International

BETO - Spanish version of the BERT model

Spanish Pre-trained BERT Model and Evaluation Data

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

Mitigating Language-Dependent Ethnic Bias in BERT

A Multi-Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis

Pre-training Polish Transformer-based Language Models at Scale

Constructing Taxonomies from Pretrained Language Models

Automatic Correction of Real-Word Errors in Spanish Clinical Texts

“Here Are the Rules: Ignore All Rules”: Automatic Contradiction Detection in Spanish

Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing

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

Transfer learning applied to text classification in Spanish radiological reports


Open source speech to text models for Indic Languages

CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

Vakyansh: ASR Toolkit for Low Resource Indic languages

Towards Building Text-To-Speech Systems for the Next Billion Users

Code Switched and Code Mixed Speech Recognition for Indic languages

indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages

Effectiveness of text to speech pseudo labels for forced alignment and
  cross lingual pretrained models for low resource speech recognition


5,400,000+ Unsplash images made available for research and machine learning

Planting a SEED of Vision in Large Language Model

Generative Multimodal Models are In-Context Learners

Contrastive Language-Image Pre-training for the Italian Language

Making LLaMA SEE and Draw with SEED Tokenizer

FairyTailor: A Multimodal Generative Framework for Storytelling


Baselines models for GuacaMol benchmarks

Proximal Policy Optimization Algorithms

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

A Model to Search for Synthesizable Molecules

Guiding Deep Molecular Optimization with Genetic Exploration

Barking up the right tree: an approach to search over molecule synthesis DAGs

DOCKSTRING: easy molecular docking yields better benchmarks for ligand
  design

t-SMILES: A Scalable Fragment-based Molecular Representation Framework
  for De Novo Molecule Generation


package for interacting with fisheries databases at openfisheries.org


Set of matlab functions for EEG io, preprocessing, analysis from the Center for Sleep and Consciousness, University of Wisconsin (csc)

‘High-Density-SleepCleaner’: An open-source, semi-automatic artifact removal routine tailored to high-density sleep EEG

Decreased Evoked Slow-Activity After tDCS in Disorders of Consciousness

EEG Activation Does Not Differ in Simple and Complex Episodes of Disorders of Arousal: A Spectral Analysis Study


A tool to construct repeats directly from raw reads

REPdenovo: Inferring De Novo Repeat Motifs from Short Sequence Reads

Sequencing and Functional Annotation of the Whole Genome of Shiraia bambusicola

An improved approach for reconstructing consensus repeats from short sequence reads


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

Demixed principal component analysis of neural population data

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

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

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

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

State-dependent geometry of population activity in rat auditory cortex

Mechanisms that allow cortical preparatory activity without inappropriate movement

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

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

An output-null signature of inertial load in motor cortex


Hydrodynamic coefficients viewer and converter for Boundary Element Method solver formats


whole genome MLST analysis


Python wrapper for Synoptic Data API. Retrieve data from thousands of mesonet stations and networks. Returns JSON from Synoptic as Pandas DataFrame: https://developers.synopticdata.com


spaCy + UDPipe

How Dramatic Events Can Affect Emotionality in Social Posting: The Impact of COVID-19 on Reddit

Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains

International Conference on Artificial Intelligence and Law

Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation

Comparing collocations in translated and learner language


MeerKAT calibration and imaging scripts

Analysis of physical processes in eruptive YSOs with near-infrared spectra and multiwavelength light curves

Discovery of a radio-emitting neutron star with an ultra-long spin period of 76 s

The MeerKAT Galaxy Cluster Legacy Survey I. Survey Overview and Highlights.

The 1.28 GHz MeerKAT Galactic Center Mosaic

Radio and X-Ray Observations of the Luminous Fast Blue Optical Transient AT 2020xnd

Observations of a radio-bright, X-ray obscured GRS 1915+105

Monthly Notices of the Royal Astronomical Society

MIGHTEE: are giant radio galaxies more common than we thought?

Discovery of ASKAP J173608.2-321635 as a Highly-Polarized Transient
  Point Source with the Australian SKA Pathfinder

Radio and optical observations of the possible AE Aqr twin, LAMOST J024048.51+195226.9

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT


Deep-learning top taggers or the end of QCD?

The Journal of high energy physics/The journal of high energy physics

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

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

Portraying Double Higgs at the Large Hadron Collider

Neural ensemble decoding for topological quantum error-correcting codes

Boosted top quark tagging and polarization measurement using machine learning

Morphology of three-body quantum states from machine learning

Top quark physics in the Large Hadron Collider era

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


A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Enhanced LSTM for Natural Language Inference

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Annotation Artifacts in Natural Language Inference Data

OCNLI: Original Chinese Natural Language Inference

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

Semantic Matching Against a Corpus: New Applications and Methods


Hopfield Networks is All You Need

Attention-based Deep Multiple Instance Learning

Hopfield Networks is All You Need


Discontinuous Data-Oriented Parsing

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

Data-oriented parsing with discontinuous constituents and function tags

Discontinuous Parsing with an Efficient and Accurate DOP Model

International Workshop/Conference on Parsing Technologies

Span-based discontinuous constituency parsing: a family of exact
  chart-based algorithms with time complexities from O(n^6) down to O(n^3)

Multitask Pointer Network for Multi-Representational Parsing

Discontinuous Constituent Parsing with Pointer Networks

Unlexicalized Transition-based Discontinuous Constituency Parsing

Discontinuous Constituent Parsing as Sequence Labeling

Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence

Empirical Methods in Natural Language Processing

Generic refinement of expressive grammar formalisms with an application to discontinuous constituent parsing

International Conference on Computational Linguistics


Public Health England SNP calling pipeline.

Evolution of Streptococcus pneumoniae Serotype 3 in England and Wales: A Major Vaccine Evader

Evaluation of SNP calling methods for closely related bacterial isolates and a novel high-accuracy pipeline: BactSNP

Genetic diversity and delineation of Salmonella Agona outbreak strains by next generation sequencing, Bavaria, Germany, 1993 to 2018

Dynamic Transmission of Staphylococcus Aureus in the Intensive Care Unit

International journal of environmental research and public health

Sources of Multidrug Resistance in Patients With Previous Isoniazid-Resistant Tuberculosis Identified Using Whole Genome Sequencing: A Longitudinal Cohort Study

Clinical infectious diseases/Clinical infectious diseases (Online. University of Chicago. Press)

Genomic Comparison of Salmonella Enteritidis Strains Isolated from Laying Hens and Humans in the Abruzzi Region during 2018

Whole-Genome Sequencing-Based Antimicrobial Resistance Characterization and Phylogenomic Investigation of 19 Multidrug-Resistant and Extended-Spectrum Beta-Lactamase-Positive Escherichia coli Strains Collected From Hospital Patients in Benin in 2019

Whole-Genome Sequencing-Based Screening of MRSA in Patients and Healthcare Workers in Public Hospitals in Benin


Borg cluster traces from Google

PRIMAL: PRofIt Maximization Avatar pLacement for Mobile Edge Computing

TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study

Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE transactions on network and service management/IEEE eTransactions on network and service management

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System

On Non-Preemptive VM Scheduling in the Cloud

Proceedings of the ACM on measurement and analysis of computing systems

Cloud-Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems

Optimized Energy Cost and Carbon Emission-Aware Virtual Machine Allocation in Sustainable Data Centers


A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

FinBERT: A Pretrained Language Model for Financial Communications

FiNER: Financial Numeric Entity Recognition for XBRL Tagging

FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts

A Survey of Large Language Models in Finance (FinLLMs)


Available documentation and binaries

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

MOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

HARE: Supporting efficient uplink multi-hop communications in
  self-organizing LPWANs

Battery draining attacks against edge computing nodes in IoT networks

Collision-Free Advertisement Scheduling for IEEE 802.15.4-TSCH Networks

A Versatile Out-of-Band Software-Defined Networking Solution for the Internet of Things

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Design of an Electrically Small, Planar Quasi-Isotropic Antenna for Enhancement of Wireless Link Reliability under NLOS Channels

Analysis of Distributed and Autonomous Scheduling Functions for 6TiSCH Networks

Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing


Probabilistic modeling of tabular data with normalizing flows.

Density estimation using Real NVP

NICE: Non-linear Independent Components Estimation

Neural Spline Flows

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

The Sensitivity of GPz Estimates of Photo-z Posterior PDFs to Realistically Complex Training Set Imperfections

Publications of the Astronomical Society of the Pacific

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning


Venn Diagram by ggplot2, with really easy-to-use API.

Phenotypic and Methylome Responses to Salt Stress in Arabidopsis thaliana Natural Accessions

Transposons Hidden in Arabidopsis thaliana Genome Assembly Gaps and Mobilization of Non-Autonomous LTR Retrotransposons Unravelled by Nanotei Pipeline

Early and late genome-wide gastric epithelial transcriptome response during infection with the human carcinogen Helicobacterpylori.

Serotype-dependent adhesion of Shiga toxin-producing Escherichia coli to bovine milk fat globule membrane proteins


Chainer implementation of recent GAN variants

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

A Large-Scale Study on Regularization and Normalization in GANs

The Unusual Effectiveness of Averaging in GAN Training

The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

JR-GAN: Jacobian Regularization for Generative Adversarial Networks.

Organization of a Latent Space structure in VAE/GAN trained by navigation data

Selecting the Best in GANs Family: a Post Selection Inference Framework

Pairwise Augmented GANs with Adversarial Reconstruction Loss


Fastest network node embeddings in the west

GRAPE for Fast and Scalable Graph Processing and random walk-based
  Embedding

Graph Exploration with Embedding-Guided Layouts


Targeted Learning for Survival Analysis

Improved estimation of the cumulative incidence of rare outcomes

Inference for treatment-specific survival curves using machine learning

One-step Targeted Maximum Likelihood for Time-to-event Outcomes


PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

Knowledge-based Biomedical Data Science 2019

Hypernetwork Science: From Multidimensional Networks to Computational Topology

A Framework for Automated Construction of Heterogeneous Large-Scale Biomedical Knowledge Graphs

Applying knowledge-driven mechanistic inference to toxicogenomics

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


R2D2: Repeatable and Reliable Detector and Descriptor

Robust Image Retrieval-based Visual Localization using Kapture

Asynchronous Multi-View SLAM

Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

ISPRS international journal of geo-information

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image
  Matching

Point Pattern Feature-Based Anomaly Detection for Manufacturing Defects, in the Random Finite Set Framework


Prune a model while finetuning or training.

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Block Pruning For Faster Transformers

What Matters In The Structured Pruning of Generative Language Models?

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance


alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)

Efficient Neural Network Robustness Certification with General Activation Functions

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

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

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

General Cutting Planes for Bound-Propagation-Based Neural Network
  Verification

The Third International Verification of Neural Networks Competition
  (VNN-COMP 2022): Summary and Results

DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting

Bound Tightening using Rolling-Horizon Decomposition for Neural Network
  Verification


This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

Word2Vec

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation

Twitter Universal Dependency Parsing for African-American and Mainstream American English

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

Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

Meeting of the Association for Computational Linguistics

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Evaluating bilingual word embeddings on the long tail

North American Chapter of the Association for Computational Linguistics

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings

SMARTies: Sentiment Models for Arabic Target Entities


Toward Multimodal Image-to-Image Translation

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Normalized Diversification

On the Evaluation of Conditional GANs

Physics-informed GANs for Coastal Flood Visualization

Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation.


A Python wrapper for the ROUGE summarization evaluation package

Extractive Opinion Summarization in Quantized Transformer Spaces

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues
  and Documents

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

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

Contrastive Aligned Joint Learning for Multilingual Summarization

Towards Content Transfer through Grounded Text Generation

Evaluating the Efficacy of Summarization Evaluation across Languages

GenCompareSum: a hybrid unsupervised summarization method using salience

Workshop on Biomedical Natural Language Processing


Will Big Data Close the Missing Heritability Gap?

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

Obesity, adipokines, and C-peptide are associated with distinct plasma phospholipid profiles in adult males, an untargeted lipidomic approach

Opportunities and limits of combining microbiome and genome data for complex trait prediction

Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package

Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials

Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep

Bayesian multitrait kernel methods improve multienvironment genome-based prediction


A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

Knowing the No-match: Entity Alignment with Dangling Cases

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

ActiveEA: Active Learning for Neural Entity Alignment

EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs

A Comprehensive Survey on Automatic Knowledge Graph Construction

Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs


Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Lossy Image Compression with Conditional Diffusion Models

Text + Sketch: Image Compression at Ultra Low Rates

Scalable Face Image Coding via StyleGAN Prior: Towards Compression for
  Human-Machine Collaborative Vision


[NIPS2023] RRHF & Wombat

LLaMA: Open and Efficient Foundation Language Models

Training a Helpful and Harmless Assistant with Reinforcement Learning
  from Human Feedback

RRHF: Rank Responses to Align Language Models with Human Feedback
  without tears

PanGu-Coder2: Boosting Large Language Models for Code with Ranking
  Feedback

CITING: Large Language Models Create Curriculum for Instruction Tuning


Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

On the Opportunities and Risks of Foundation Models

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

Wav2CLIP: Learning Robust Audio Representations From CLIP

CLIPstyler: Image Style Transfer with a Single Text Condition

Diffusion-based Image Translation using Disentangled Style and Content
  Representation

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN
  Space Optimization

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

CLIPAG: Towards Generator-Free Text-to-Image Generation


Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Controllable and Progressive Image Extrapolation

Iterative facial image inpainting based on an encoder-generator architecture


An implementation of the TrueSkill rating system for Python

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation

Workshop on Statistical Machine Translation

Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai

Combining Learning from Human Feedback and Knowledge Engineering to
  Solve Hierarchical Tasks in Minecraft


Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

Single‐cell RNA‐seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma

Single-Cell RNA-seq Reveals Characteristics of Malignant Cells and Immune Microenvironment in Subcutaneous Panniculitis-Like T-Cell Lymphoma

Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma

MLG: multilayer graph clustering for multi-condition scRNA-seq data

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology


CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER

CxLM: A Construction and Context-aware Language Model

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin

Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan

Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien

Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora

Taiwan Conference on Computational Linguistics and Speech Processing


Official Implementation of 'Fast AutoAugment' in PyTorch.

Fast AutoAugment

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks


R client for the OBIS API

Enhancing georeferenced biodiversity inventories: automated information extraction from literature records reveal the gaps


Classification models trained on ImageNet. Keras.

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

Privacy in Practice: Private COVID-19 Detection in X-Ray Images

Progressive Stochastic Binarization of Deep Networks


Torrent Suite

Comprehensive gene panels provide advantages over clinical exome sequencing for Mendelian diseases

A new rhesus macaque assembly and annotation for next-generation sequencing analyses

Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity

KIAA0556 is a novel ciliary basal body component mutated in Joubert syndrome

Zenodo (CERN European Organization for Nuclear Research)

Transient Disappearance of RAS Mutant Clones in Plasma: A Counterintuitive Clinical Use of EGFR Inhibitors in RAS Mutant Metastatic Colorectal Cancer

Addressing health disparities in Hispanic breast cancer: accurate and inexpensive sequencing of BRCA1 and BRCA2

Transcriptomic Analysis of Calcium Remodeling in Colorectal Cancer

International journal of molecular sciences

Genetic architecture differences between pediatric and adult-onset inflammatory bowel diseases in the Polish population

A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency

Comparison of error correction algorithms for Ion Torrent PGM data: application to hepatitis B virus


Code for the paper "Improved Techniques for Training GANs"

Improved Techniques for Training GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Generative Modeling by Estimating Gradients of the Data Distribution

A Note on the Inception Score

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

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

Reducing Noise in GAN Training with Variance Reduced Extragradient

Calibrating Energy-based Generative Adversarial Networks

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models

Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis


CarveMe: genome-scale metabolic model reconstruction

Fast automated reconstruction of genome-scale metabolic models for microbial species and communities

A systematic assessment of current genome-scale metabolic reconstruction tools

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables


Efficient neural feature detector and descriptor

SuperPoint: Self-Supervised Interest Point Detection and Description

Asynchronous Multi-View SLAM

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image
  Matching

Compression of descriptor models for mobile applications

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction


A torch implementation of http://arxiv.org/abs/1511.06434

Generative Adversarial Text to Image Synthesis

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Invertible Conditional GANs for image editing

Learning What and Where to Draw

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

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

Adversarial nets with perceptual losses for text-to-image synthesis

Generative Art: Between the Nodes of Neuron Networks


An implementation of Performer, a linear attention-based transformer, in Pytorch

Rethinking Attention with Performers

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

Chess as a Testbed for Language Model State Tracking

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series
  Forecasting

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining

Morphology-preserving Autoregressive 3D Generative Modelling of the
  Brain

A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors

Deep is a Luxury We Don't Have


Organelle Genome Assembly Toolkit (Chloroplast/Mitocondrial/ITS)

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

Evolutionary Comparisons of the Chloroplast Genome in Lauraceae and Insights into Loss Events in the Magnoliids

Plastid Genome Evolution in the Early-Diverging Legume Subfamily Cercidoideae (Fabaceae)

A systematic comparison of chloroplast genome assembly tools

The Complete Chloroplast Genomes of Two Lespedeza Species: Insights into Codon Usage Bias, RNA Editing Sites, and Phylogenetic Relationships in Desmodieae (Fabaceae: Papilionoideae)

Characteristics of the completed chloroplast genome sequence of Xanthium spinosum: Comparative analyses, identification of mutational hotspots and phylogenetic implications

Comparative Analyses of Euonymus Chloroplast Genomes: Genetic Structure, Screening for Loci With Suitable Polymorphism, Positive Selection Genes, and Phylogenetic Relationships Within Celastrineae

Comparative analysis of plastid genomes within the Campanulaceae and phylogenetic implications

Phylogenomic analyses reveal intractable evolutionary history of a temperate bamboo genus (Poaceae: Bambusoideae)

The Complete Chloroplast Genome Sequence of the Speirantha gardenii: Comparative and Adaptive Evolutionary Analysis


Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

Matterport3D: Learning from RGB-D Data in Indoor Environments

Visual Language Maps for Robot Navigation

Generating 3D People in Scenes without People

RGB-D Odometry and SLAM

Bird's-Eye-View Scene Graph for Vision-Language Navigation

Vision-language navigation: a survey and taxonomy


Pre-trained ELMo Representations for Many Languages

Deep contextualized word representations

On Using Very Large Target Vocabulary for Neural Machine Translation

A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages

A review of sentiment analysis research in Arabic language

LINSPECTOR: Multilingual Probing Tasks for Word Representations

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

A French Corpus for Event Detection on Twitter

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

FarsTail: A Persian Natural Language Inference Dataset

STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings

NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic


A Change Detection Repo Standing on the Shoulders of Giants

Fully Convolutional Siamese Networks for Change Detection

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE transactions on geoscience and remote sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS journal of photogrammetry and remote sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE geoscience and remote sensing letters

A Transformer-Based Siamese Network for Change Detection

Changer: Feature Interaction is What You Need for Change Detection

TINYCD: A (Not So) Deep Learning Model For Change Detection

A New Learning Paradigm for Foundation Model-based Remote Sensing Change
  Detection

Time Travelling Pixels: Bitemporal Features Integration with Foundation
  Model for Remote Sensing Image Change Detection


ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Generative Adversarial Networks

ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with
  Gradient-Disentangled Embedding Sharing

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Masked Language Model Scoring

Retrospective Reader for Machine Reading Comprehension

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

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

Pre-Training Transformers as Energy-Based Cloze Models


Google AI 2018 BERT pytorch implementation

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

Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training

Improving Neural Machine Translation with Pre-trained Representation

DARE: Distill and Reinforce Ensemble Neural Networks for Climate-Domain Processing