77. RECONSIDERING THE VALIDITY OF TRANSCRIPTOME-WIDE ASSOCIATION STUDIES

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

Are Alzheimer's and coronary artery diseases genetically related to longevity?


PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac

PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers


A Python ORM-like interface for the Clingo Answer Set Programming (ASP) reasoner

How to build your own ASP-based system?!

ValAsp: a tool for data validation in Answer Set Programming

Clingraph: A System for ASP-based Visualization


Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.

Data-augmentation for graph neural network learning of the relaxed energies of unrelaxed structures

Machine learning the metastable phase diagram of covalently bonded carbon

Machine Learning the Metastable Phase Diagram of Materials


Official release of the ProGen models

ProGen2: Exploring the Boundaries of Protein Language Models

Current progress, challenges, and future perspectives of language models for protein representation and protein design

Accurate and Definite Mutational Effect Prediction with Lightweight
  Equivariant Graph Neural Networks

Multi-level Protein Representation Learning for Blind Mutational Effect
  Prediction


A Memento Aggregator CLI and Server in Go

MementoMap Framework for Flexible and Adaptive Web Archive Profiling

Impact of URI Canonicalization on Memento Count

Profiling Web Archival Voids for Memento Routing


Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

Generator Versus Segmentor: Pseudo-healthy Synthesis

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Generative Adversarial Networks and Other Generative Models

Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields


Gaussian processes and Bayesian optimization for images and hyperspectral data

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian
  Processes to Hypothesis Learning

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Bayesian Optimization in Continuous Spaces via Virtual Process
  Embeddings

Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control

Gaussian process analysis of Electron Energy Loss Spectroscopy (EELS) data: parallel reconstruction and kernel control.


Chamfer Distance in Pytorch with f-score

LION: Latent Point Diffusion Models for 3D Shape Generation

Mosaic-SDF for 3D Generative Models

CD^2: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance

Basis restricted elastic shape analysis on the space of unregistered
  surfaces


Creative Commons Attribution Share Alike 4.0 International

Analysis of EBOV genome sequence from Guinea, Sierra Leone and Liberia from 2014-2016

Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak

Coupling adaptive molecular evolution to phylodynamics using fitness-dependent birth-death models

From viral evolution to spatial contagion: a biologically modulated Hawkes model

Identifying spatio-temporal dynamics of Ebola in Sierra Leone using virus genomes

Fitting stochastic epidemic models to gene genealogies using linear
  noise approximation


an AI algorithm for detecting trash in geolocated images

Deep learning-based waste detection in natural and urban environments

A Survey on Waste Detection and Classification Using Deep Learning

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images

IEEE journal of selected topics in applied earth observations and remote sensing


This is the main repo for Penglai.


Haplotype phasing software

Accurate, scalable and integrative haplotype estimation

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into the complex genetic architecture

Integrative haplotype estimation with sub-linear complexity


A curated resource list of adversarial attacks and defenses for Windows PE malware detection.

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art

Arms Race in Adversarial Malware Detection: A Survey

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

Proceedings of the 8th International Conference on Communication and Network Security

Evading API Call Sequence Based Malware Classifiers

AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: APPLIED DATA SCIENCE TRACK, PT IV

Deceiving Portable Executable Malware Classifiers into Targeted Misclassification with Practical Adversarial Examples

Conference on Data and Application Security and Privacy

A survey on practical adversarial examples for malware classifiers

Reversing and Offensive-oriented Trends Symposium


Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation

Multimodal Analysis of Gravitational Wave Signals and Gamma-Ray Bursts from Binary Neutron Star Mergers

GhostiPy: An Efficient Signal Processing and Spectral Analysis Toolbox for Large Data


DAN: a Segmentation-free Document Attention Network for Handwritten
  Document Recognition

Key-value information extraction from full handwritten pages


Tools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.

TIM: Teaching Large Language Models to Translate with Comparison

Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration

GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

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


DrQ-v2: Improved Data-Augmented Reinforcement Learning

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

Pre-training Contextualized World Models with In-the-wild Videos for
  Reinforcement Learning

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Accelerating Reinforcement Learning with Value-Conditional State Entropy
  Exploration

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Unsupervised Behavior Extraction via Random Intent Priors

Tackling Visual Control via Multi-View Exploration Maximization

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse


label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

The Lovász-Softmax loss: A tractable surrogate for the optimization of
  the intersection-over-union measure in neural networks

Learning from Noisy Labels with Deep Neural Networks: A Survey

Partial FC: Training 10 Million Identities on a Single Machine


Marine Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable

The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance

Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images


Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

Qoala-T: A supervised-learning tool for quality control of automatic segmented MRI data

Disorganized Amygdala Networks in Conduct-Disordered Juvenile Offenders With Callous-Unemotional Traits

Journal of Child Psychology and Psychiatry - Different brain responses during empathy in autism spectrum disorders versus conduct disorder and callous-unemotional traits

Journal of child psychology and psychiatry, and allied disciplines

Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study

Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study

Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults

Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center


LAMMPS interface for phonon calculations using phonopy

Phonons in twisted transition-metal dichalcogenide bilayers: Ultrasoft phasons and a transition from a superlubric to a pinned phase

Thermoelastic properties of bridgmanite using Deep Potential Molecular
  Dynamics

Development of the RF-MEAM Interatomic Potential for the Fe-C System to Study the Temperature-Dependent Elastic Properties


PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Shepherd: A Critic for Language Model Generation

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Few-Shot Text Generation with Natural Language Instructions

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

True Few-Shot Learning with Prompts -- A Real-World Perspective

Revisiting Self-Training for Few-Shot Learning of Language Model

Instance-Aware Prompt Learning for Language Understanding and Generation

Towards Unified Prompt Tuning for Few-shot Text Classification

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

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


Python port of Boilerpipe library

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums


S3PRL-VC: A Voice Conversion Toolkit based on S3PRL

S3PRL-VC: Open-Source Voice Conversion Framework with Self-Supervised Speech Representations

A Comparative Study of Self-Supervised Speech Representation Based Voice Conversion


Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Credit Assignment Through Broadcasting a Global Error Vector

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients


Popular ECG QRS detectors written in python

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

Robust deep learning pipeline for PVC beats localization

Technology and health care : official journal of the European Society for Engineering and Medicine

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Generative Pre-Trained Transformer for Cardiac Abnormality Detection


APTnotes data

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis

A Machine Learning Approach for the NLP-Based Analysis of Cyber Threats and Vulnerabilities of the Healthcare Ecosystem

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

On Preempting Advanced Persistent Threats Using Probabilistic Graphical
  Models

On Learning Word Embeddings From Linguistically Augmented Text Corpora

Proceedings of the 13th International Conference on Computational Semantics - Short Papers

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber
  Threat Intelligence Gathering and Management

A Structured Analysis of Information Security Incidents in the Maritime
  Sector

A Pretrained Language Model for Cyber Threat Intelligence

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


Recipe for a General, Powerful, Scalable Graph Transformer

Diffusing Graph Attention


A bounded-suboptimal solver for Multi-Agent Path Finding

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding


Learn and L3 embedding from audio/video pairs

Look, Listen and Learn

Self-supervised audio representation learning for mobile devices

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos


Pretrained TorchVision models on CIFAR10 dataset (with weights)

Real-Time and Accurate Drone Detection in a Video with a Static Background

Deep Ensembles Work, But Are They Necessary?

Learning-Augmented k-means Clustering

Stationary Activations for Uncertainty Calibration in Deep Learning

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders

A2: Efficient Automated Attacker for Boosting Adversarial Training

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning

Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification

Consistent Multiclass Algorithms for Complex Metrics and Constraints

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework


DERA: Enhancing Large Language Model Completions with Dialog-Enabled
  Resolving Agents

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog
  System

Adding more data does not always help: A study in medical conversation
  summarization with PEGASUS

Learning functional sections in medical conversations: iterative
  pseudo-labeling and human-in-the-loop approach

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval
  and Span Extraction

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue


A map of transcriptional heterogeneity and regulatory variation in human microglia

Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

Mapping interindividual dynamics of innate immune response at single-cell resolution

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

International journal of molecular sciences

Development of a cloud-based Bioinformatics Training Platform

Large-scale map of RNA binding protein interactomes across the mRNA life-cycle

bioRxiv : the preprint server for biology

Analysis of miRNA expression in the trachea of Ri chicken infected with the highly pathogenic avian influenza H5N1 virus


Framework for converting QA-SRL to Open-IE and evaluating Open IE parsers.

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

Span Model for Open Information Extraction on Accurate Corpus

Graphene: Semantically-Linked Propositions in Open Information Extraction

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling

International Conference on Computational Semantics

Summarizing Unstructured Logs in Online Services.

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Fact-aware Sentence Split and Rephrase with Permutation Invariant Training

Graphene: A Context-Preserving Open Information Extraction System

Hierarchical Knowledge Graphs: A Novel Information Representation for Exploratory Search Tasks


Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

NPLDA: A Deep Neural PLDA Model for Speaker Verification

The Speaker and Language Recognition Workshop (Odyssey 2020)

Pairwise Discriminative Neural PLDA for Speaker Verification

LEAP System for SRE 2019 CTS Challenge - Improvements and Error Analysis


Effective Mass Calculator for Semiconductors

Structural, elastic, thermal, and electronic responses of small-molecule-loaded metal–organic framework materials

Decouple electronic and phononic transport in nanotwinned structures: a new strategy for enhancing the figure-of-merit of thermoelectrics

Large exciton binding energies in MnPS_3 as a case study of vdW
  layered magnet

Effects of the Hubbard U on density functional-based predictions of BiFeO3 properties

Journal of physics. Condensed matter : an Institute of Physics journal

Effective mass path integral simulations of quasiparticles in condensed phases

High-throughput calculation screening for new silicon allotropes with monoclinic symmetry


[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration

Mixed-Precision Neural Networks: A Survey


Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

Learning the Exchange-Correlation Functional from Nature with Fully Differentiable Density Functional Theory

DQC: a Python program package for Differentiable Quantum Chemistry


Toolkit for learning controllers based on robust control Lyapunov barrier functions

Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates

Exact Verification of ReLU Neural Control Barrier Functions


Official implementation of project Honeybee (CVPR 2024)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language
  Models

MMBench: Is Your Multi-modal Model an All-around Player?

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Honeybee: Locality-enhanced Projector for Multimodal LLM


Dataset and starting code for visual entailment dataset

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

UNITER: UNiversal Image-TExt Representation Learning

UniT: Multimodal Multitask Learning with a Unified Transformer

Visual Entailment: A Novel Task for Fine-Grained Image Understanding

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Visual Entailment Task for Visually-Grounded Language Learning

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations

What You See is What You Read? Improving Text-Image Alignment Evaluation

AlignVE: Visual Entailment Recognition Based on Alignment Relations


Neural Question Generation using the SQuAD and NewsQA datasets

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Learning to Ask: Neural Question Generation for Reading Comprehension

Machine Comprehension by Text-to-Text Neural Question Generation


Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts  model (aka piecewise constant Mumford-Shah model)

An image reconstruction model regularized by edge-preserving diffusion and smoothing for limited-angle computed tomography

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation

An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise


High-fidelity performance metrics for generative models in PyTorch

Analyzing and Improving the Image Quality of StyleGAN

Training Generative Adversarial Networks with Limited Data

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Variational Wasserstein gradient flow

Q-Diffusion: Quantizing Diffusion Models

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

Denoising Diffusion Gamma Models

Holistic Evaluation of Text-To-Image Models

CG-NeRF: Conditional Generative Neural Radiance Fields

Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images


Code for Discriminability objective for training descriptive captions(CVPR 2018)

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

Context-aware Captions from Context-agnostic Supervision

Describing like humans: on diversity in image captioning

Towards Unique and Informative Captioning of Images


Earl Grey: A fully automated TE curation and annotation pipeline

Myriapod genomes reveal ancestral horizontal gene transfer and hormonal gene loss in millipedes

Transposable Element Interactions Shape the Ecology of the Deer Mouse Genome


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

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

Graph Rationalization with Environment-based Augmentations

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

Debiasing Graph Neural Networks via Learning Disentangled Causal
  Substructure

Learning Invariant Molecular Representation in Latent Discrete Space


An R Package for Importing Data from Our World in Data


An integrated pipeline for estimating strain-level genomic variation from metagenomic data

An integrated metagenomics pipeline for strain profiling reveals novel patterns of bacterial transmission and biogeography

Interplay of Staphylococcal and Host Proteases Promotes Skin Barrier Disruption in Netherton Syndrome

An integrated metagenomics pipeline for strain profiling reveals novel patterns of transmission and global biogeography of bacteria

Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution


Data and code for grapheme-to-phoneme transducers in lots of languages

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

Fast transcription of speech in low-resource languages


Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Feature Pyramid Networks for Object Detection

Aggregated Residual Transformations for Deep Neural Networks

Deep Clustering for Unsupervised Learning of Visual Features

BING: Binarized normed gradients for objectness estimation at 300fps

Face Detection with the Faster R-CNN

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Learning non-maximum suppression

Bounding Box Regression with Uncertainty for Accurate Object Detection

Learning Features by Watching Objects Move


A Library for Dynamic Graph Learning (NeurIPS 2023)

Temporal Graph Networks for Deep Learning on Dynamic Graphs

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library

TempME: Towards the Explainability of Temporal Graph Neural Networks via
  Motif Discovery

An Empirical Evaluation of Temporal Graph Benchmark

Effect of Choosing Loss Function when Using T-batching for
  Representation Learning on Dynamic Networks


Official PyTorch implementation of "AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks"

SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge
  Evaluation Plan

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck

Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

On the potential of jointly-optimised solutions to spoofing attack detection and automatic speaker verification

Audio Deepfake Detection: A Survey

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems


Generating images with recurrent adversarial networks

CapsuleGAN: Generative Adversarial Capsule Network

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks

Generative Adversarial Parallelization


impact-driven-exploration

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

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

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

ELLA: Exploration through Learned Language Abstraction

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

Rewarding Episodic Visitation Discrepancy for Exploration in
  Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement
  Learning


code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

BELT:Bootstrapping Electroencephalography-to-Language Decoding and
  Zero-Shot Sentiment Classification by Natural Language Supervision


Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"

ProGen2: Exploring the Boundaries of Protein Language Models

Tranception: protein fitness prediction with autoregressive transformers
  and inference-time retrieval

RITA: a Study on Scaling Up Generative Protein Sequence Models

Accurate and Definite Mutational Effect Prediction with Lightweight
  Equivariant Graph Neural Networks

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction

Multi-level Protein Representation Learning for Blind Mutational Effect
  Prediction


Train ImageNet *fast* in 500 lines of code with FFCV

Fixing the train-test resolution discrepancy

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Mirror Descent Maximizes Generalized Margin and Can Be Implemented
  Efficiently

On the interplay of adversarial robustness and architecture components:
  patches, convolution and attention

A picture of the space of typical learnable tasks


Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization


Randomized online matrix factorization

Dictionary Learning for Massive Matrix Factorization

Stochastic Subsampling for Factorizing Huge Matrices

Subsampled online matrix factorization with convergence guarantees


Natural Language Processing Tutorial for MindSpore Users

Attention Is All You Need

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

Sequence to Sequence Learning with Neural Networks

Convolutional Neural Networks for Sentence Classification

word2vec Parameter Learning Explained


Automagically remove trends from time-series data

Wotan: Comprehensive Time-series Detrending in Python

Original Research by Young Twinkle Students (ORBYTS): ephemeris refinement of transiting exoplanets

Searching for Small Circumbinary Planets. I. The STANLEY Automated Algorithm and No New Planets in Existing Systems

Transit least-squares survey

Optical and near-infrared stellar activity characterization of the early M dwarf Gl 205 with SOPHIE and SPIRou

Transit least-squares survey. III. A 1.9 R ⊕ transit candidate in the habitable zone of Kepler-160 and a nontransiting planet characterized by transit-timing variations

Analysis of eclipsing binaries in multiple stellar systems: the case of V1200 Centauri

Monthly Notices of the Royal Astronomical Society

HD 207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

Searching the Entirety of Kepler Data. I. 17 New Planet Candidates Including One Habitable Zone World

Large exomoons unlikely around Kepler-1625 b and Kepler-1708 b


improves over nerf in 360 capture of unbounded scenes

NeRF++: Analyzing and Improving Neural Radiance Fields

Volume Rendering of Neural Implicit Surfaces

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields


Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Control Prefixes for Parameter-Efficient Text Generation

Discourse-Aware Soft Prompting for Text Generation

Parameter-Efficient Tuning on Layer Normalization for Pre-trained
  Language Models

Self-supervised Graph Masking Pre-training for Graph-to-Text Generation


Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Characterizing possible failure modes in physics-informed neural networks

Respecting causality is all you need for training physics-informed
  neural networks

An Expert's Guide to Training Physics-informed Neural Networks

Random Weight Factorization Improves the Training of Continuous Neural
  Representations

PirateNets: Physics-informed Deep Learning with Residual Adaptive
  Networks


PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations

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

On Distillation of Guided Diffusion Models

Diffusion Models for Adversarial Purification

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

The Devil's Advocate: Shattering the Illusion of Unexploitable Data
  using Diffusion Models

SAMScore: A Semantic Structural Similarity Metric for Image Translation
  Evaluation

DiracDiffusion: Denoising and Incremental Reconstruction with Assured
  Data-Consistency

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion
  Models


PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

End-to-End Object Detection with Transformers

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Label-Efficient Semantic Segmentation with Diffusion Models

Instance Localization for Self-supervised Detection Pretraining

Instance-Conditioned GAN

CompRess: Self-Supervised Learning by Compressing Representations

Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?

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

A Theory of Label Propagation for Subpopulation Shift

Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model


[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

VAD: Vectorized Scene Representation for Efficient Autonomous Driving

MapTRv2: An End-to-End Framework for Online Vectorized HD Map
  Construction

PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion
  Models

VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale
  Driving Scene

Mind the map! Accounting for existing map information when estimating
  online HDMaps from sensor data

MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized
  HD Map Construction


:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Chinese Event Extraction Based on Attention and Semantic Features: A Bidirectional Circular Neural Network

An overview of event extraction and its applications

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion

Chinese Emergency Event Recognition Using Conv-RDBiGRU Model

Computational intelligence and neuroscience

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset


Generative Spoken Dialogue Language Modeling

Breathing in Conversation

Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale
  In-the-wild Laughter Corpus

Towards human-like spoken dialogue generation between AI agents from
  written dialogue


[CVPR2020] Adversarial Latent Autoencoders

Label-Efficient Semantic Segmentation with Diffusion Models

Adversarial Latent Autoencoders

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

Unpaired Image-to-Image Translation via Latent Energy Transport

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery


A PyTorch Library for Multi-Task Learning

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

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Reasonable Effectiveness of Random Weighting: A Litmus Test for
  Multi-Task Learning

LibMTL: A Python Library for Multi-Task Learning

Dual-Balancing for Multi-Task Learning


Detecting sites of genomic enrichment

ARID1A influences HDAC1/BRD4 activity, intrinsic proliferative capacity and breast cancer treatment response

Accessible chromatin regions and their functional interrelations with gene transcription and epigenetic modifications in sorghum genome

Abstract 1687: Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma

Cortex cis-regulatory switches establish scale colour identity and pattern diversity in Heliconius

Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages

PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments

Transcriptomic and open chromatin atlas of high-resolution anatomical regions in the rhesus macaque brain

Release of promoter–proximal paused Pol II in response to histone deacetylase inhibition

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

Cardiac endothelial cells maintain open chromatin and expression of cardiomyocyte myofibrillar genes


Multivariate Time Series Transformer, public version

A Transformer-based Framework for Multivariate Time Series Representation Learning

Towards an automated data cleaning with deep learning in CRESST

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals


REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

REBEL: Relation Extraction By End-to-end Language generation

Findings of the Association for Computational Linguistics: EMNLP 2021

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

Towards Relation Extraction From Speech

Sequence Generation with Label Augmentation for Relation Extraction

RED^ FM: a Filtered and Multilingual Relation Extraction Dataset

Beyond Rule-based Named Entity Recognition and Relation Extraction for
  Process Model Generation from Natural Language Text


Natural Questions: A Benchmark for Question Answering Research

Transactions of the Association for Computational Linguistics

Simple and Effective Multi-Paragraph Reading Comprehension

Unsupervised Question Answering by Cloze Translation

Meeting of the Association for Computational Linguistics

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

Language Model Pre-training for Hierarchical Document Representations

Comparative Analysis of Neural QA models on SQuAD


A steganalysis tool for detecting LSB steganography in images

StegExpose - A Tool for Detecting LSB Steganography

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Multitask Identity-Aware Image Steganography via Minimax Optimization

Cover-aware Steganalysis


Must-read Papers on Legal Intelligence

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

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


Quality information extraction at web scale.

Creating a Large Benchmark for Open Information Extraction

Bootstrapping for Numerical Open IE

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2

Demonyms and Compound Relational Nouns in Nominal Open IE

Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization

International Joint Conference on Natural Language Processing

Porting an Open Information Extraction System from English to German

Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining

More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing

Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets


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

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

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

A Survey on Human-aware Robot Navigation

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

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

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

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

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


The PatchCamelyon (PCam) deep learning classification benchmark.

Rotation Equivariant CNNs for Digital Pathology

Deep neural network models for computational histopathology: A survey

A Benchmark of Medical Out of Distribution Detection

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

Understanding Zero-Shot Adversarial Robustness for Large-Scale Models

Deep Learning Models for Digital Pathology

Multi-modality artificial intelligence in digital pathology

Evolved Explainable Classifications for Lymph Node Metastases

Topological Singularity Detection at Multiple Scales


RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Change Matters: Medication Change Prediction with Recurrent Residual Networks

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction

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

Attention-based neural networks for clinical prediction modelling on electronic health records


⚡♠ Assemble bacterial isolate genomes from Illumina paired-end reads

Isolation and rapid sharing of the 2019 novel coronavirus (SAR-CoV-2) from the first patient diagnosed with COVID-19 in Australia

Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

A Klebsiella pneumoniae ST307 outbreak clone from Germany demonstrates features of extensive drug resistance, hypermucoviscosity, and enhanced iron acquisition

Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences

Host adaptation and convergent evolution increases antibiotic resistance without loss of virulence in a major human pathogen

Unearthing the Plant Growth-Promoting Traits of Bacillus megaterium RmBm31, an Endophytic Bacterium Isolated From Root Nodules of Retama monosperma

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS


Face Liveness Detection (Face Anti Spoofing) Server SDK

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Learning One Class Representations for Face Presentation Attack Detection Using Multi-Channel Convolutional Neural Networks

Improving Face Anti-Spoofing by 3D Virtual Synthesis

Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra

Multi-domain Learning for Updating Face Anti-spoofing Models

A Personalized Benchmark for Face Anti-spoofing

2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Online Adaptive Personalization for Face Anti-spoofing

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with
  Statistical Tokens

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing


[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Choose a Transformer: Fourier or Galerkin

Transformer for Partial Differential Equations' Operator Learning


Tree detection from aerial imagery in Python


Simple Online Realtime Tracking with a Deep Association Metric

Simple Online and Realtime Tracking with a Deep Association Metric

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

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

IEEE transactions on pattern analysis and machine intelligence

Sort and Deep-SORT Based Multi-Object Tracking for Mobile Robotics: Evaluation with New Data Association Metrics

Panoptic Segmentation Forecasting

Partial Scene Reconstruction for Close Range Photogrammetry Using Deep Learning Pipeline for Region Masking

Fetal Movement Detection and Anatomical Plane Recognition using YOLOv5 Network in Ultrasound Scans

European Journal of Science and Technology


An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Link Prediction Based on Graph Neural Networks

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Learning from Counterfactual Links for Link Prediction

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking

Revisiting Link Prediction: A Data Perspective

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

Link Prediction without Graph Neural Networks


Repository for the paper "Planning to Explore via Self-Supervised World Models"

Model-Based Active Exploration

Curiosity-Driven Exploration via Latent Bayesian Surprise

Reparameterized Policy Learning for Multimodal Trajectory Optimization


samblaster: a tool to mark duplicates and extract discordant and split reads from sam files.

SAMBLASTER: fast duplicate marking and structural variant read extraction

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

House mouse Mus musculus dispersal in East Eurasia inferred from 98 newly determined complete mitochondrial genome sequences

Transcriptomic silencing as a potential mechanism of treatment resistance

Accelerating next generation sequencing data analysis with system level optimizations

A new TEX11 mutation causes azoospermia and testicular meiotic arrest

Pooled Sequencing Analysis of Geese (Anser cygnoides) Reveals Genomic Variations Associated With Feather Color

Whole-Genome Resequencing to Evaluate Life History Variation in Anadromous Migration of Oncorhynchus mykiss


This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large
  Language Models

Instruction-tuning Aligns LLMs to the Human Brain


mT5: A massively multilingual pre-trained text-to-text transformer

ByT5: Towards a token-free future with pre-trained byte-to-byte models

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models


[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.

Self-supervised Motion Learning from Static Images

Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning

A Stronger Baseline for Ego-Centric Action Detection

Temporally-Adaptive Models for Efficient Video Understanding


Twitter Tools

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

Knowledge-based Query Expansion in Real-Time Microblog Search

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams

Learning to Discover Key Moments in Social Media Streams


A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

FaceNet: A Unified Embedding for Face Recognition and Clustering

VGGFace2: A dataset for recognising faces across pose and age

Partial FC: Training 10 Million Identities on a Single Machine


An SDR LoRa implementation for R&D

Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Software Defined Radio Platforms for Wireless Technologies

Characterizing the Impact of Doppler Effects on Body-Centric LoRa Links with SDR


Binarized Neural Network (BNN) for pytorch

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays

Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks

Combinatorial Attacks on Binarized Neural Networks

Improving Noise Tolerance of Mixed-Signal Neural Networks

Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node

ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations

Mirror Descent View for Neural Network Quantization

Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks


Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

Progressive Pose Attention Transfer for Person Image Generation

XingGAN for Person Image Generation

Progressive and Aligned Pose Attention Transfer for Person Image Generation


Learning Named Entity Tagger from Domain-Specific Dictionary

Learning Named Entity Tagger using Domain-Specific Dictionary

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive
  Learning

Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning


Deep Averaging Networks

Deep Unordered Composition Rivals Syntactic Methods for Text Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Aff2Vec: Affect--Enriched Distributional Word Representations


Pushshift API

COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features

Detection of Mental Health from Reddit via Deep Contextualized Representations

International Workshop on Health Text Mining and Information Analysis

Personalized Response Generation via Generative Split Memory Network

North American Chapter of the Association for Computational Linguistics

Native Language Cognate Effects on Second Language Lexical Choice

Schizophrenia Detection Using Machine Learning Approach from Social Media Content

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Workshop on Biomedical Natural Language Processing

Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study


Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

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

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

Proceedings of the ACM on computer graphics and interactive techniques

DxPU: Large-scale Disaggregated GPU Pools in the Datacenter

ACM transactions on architecture and code optimization

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations

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


Remove problematic gender bias from word embeddings.

Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

Understanding Undesirable Word Embedding Associations

Attenuating Bias in Word Vectors

Gender-preserving Debiasing for Pre-trained Word Embeddings

Two Simple Ways to Learn Individual Fairness Metrics from Data

Debiasing Embeddings for Reduced Gender Bias in Text Classification


CRF++: Yet Another CRF toolkit

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

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

Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

NLP Web Services for Resource-Scarce Languages

Diacritization of Maghrebi Arabic Sub-Dialects

How do you correct run-on sentences it's not as easy as it seems


Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Robust High-Resolution Video Matting with Temporal Guidance

FOF: Learning Fourier Occupancy Field for Monocular Real-time Human
  Reconstruction

Learning Disentangled Avatars with Hybrid 3D Representations


Virtual adversarial training with Tensorflow

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

Semi-Supervised Sequence Modeling with Cross-View Training

Semi-Supervised Learning by Augmented Distribution Alignment

Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation

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

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

Learning with Multiplicative Perturbations


Convolutional neural network analysis for predicting DNA sequence activity.

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Predicting the impact of non-coding variants on DNA methylation

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal


CASCADE Server

Cyber Attack and Defense Emulation Agents

Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education


LINE: Large-scale information network embedding

LINE: Large-scale Information Network Embedding

A Survey on Network Embedding

Network Representation Learning: A Survey

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

Representation Learning for Attributed Multiplex Heterogeneous Network

Graph Self-Supervised Learning: A Survey

VERSE: Versatile Graph Embeddings from Similarity Measures

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

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

Graph-based Semi-supervised Learning: A Comprehensive Review

Name Disambiguation in Anonymized Graphs using Network Embedding


Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer


Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Uncertainty Modeling for Out-of-Distribution Generalization

The Cognition of Audience to Artistic Style Transfer

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

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired
  Image-to-Image Translation


DualGAN-tensorflow: tensorflow implementation of DualGAN

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

Asymmetric GAN for Unpaired Image-to-Image Translation

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

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

PCSGAN: Perceptual cyclic-synthesized generative adversarial networks for thermal and NIR to visible image transformation

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations

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

End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network


code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

Deep Learning on Graphs: A Survey

Variational Knowledge Graph Reasoning

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

DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning

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

Reinforcement Learning on Graphs: A Survey

A Framework to Quantify Approximate Simulation on Graph Data


Scripts to extract features of cortical folding from MRI

Independent components of human brain morphology

Neuro-evolutionary evidence for a universal fractal primate brain shape


A tooL for Prokaryotic Phylogeny And Clustering Analysis

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

Prokka: rapid prokaryotic genome annotation

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Producing polished prokaryotic pangenomes with the Panaroo pipeline


Models for explainable recommendation.

Neural Attentional Rating Regression with Review-level Explanations

Neural Rating Regression with Abstractive Tips Generation for Recommendation

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

International ACM SIGIR Conference on Research and Development in Information Retrieval

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Explanation as a Defense of Recommendation

Comparative Explanations of Recommendations

Graph-based Extractive Explainer for Recommendations


RAnsac Assisted Spectral CALibration

Identifying Blue Large Amplitude Pulsators from Gaia DR2 & ZTF DR3

Monthly notices of the Royal Astronomical Society

RASCAL: Towards automated spectral wavelength calibration

AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN


Modified version of CLASS to work with EDE models.

Early dark energy does not restore cosmological concordance

Atacama Cosmology Telescope: Constraints on prerecombination early dark energy

Can Conformally Invariant Modified Gravity Solve The Hubble Tension

Early dark sector, the Hubble tension, and the swampland

Constraints on prerecombination early dark energy from SPT-3G public data

Towards Early Dark Energy in string theory

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

Constraining the spatial curvature with cosmic expansion history in a cosmological model with a non-standard sound horizon

A double take on early and interacting dark energy from JWST

Improving constraints on models addressing the Hubble tension with CMB delensing


CmuMD implementation for PLUMED2

Electrochemistry, ion adsorption and dynamics in the double layer: a study of NaCl(aq) on graphite

Bridging the gap between mesoscopic and molecular models of solid/liquid interfaces out-of-equilibrium


This is a package developed in the Mesoscience Lab to perform Hierarchy of Pure State (HOPS) calculations using an adaptive basis that provides size-invariant scaling for large systems.

Formally exact simulations of mesoscale exciton dynamics in molecular materials

Simulating optical linear absorption for mesoscale molecular aggregates:
  an adaptive hierarchy of pure states approach


Distributed Retrieval Evaluation Server

Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown

International journal of multimedia information retrieval

A System for Interactive Multimedia Retrieval Evaluations

A tale of two interfaces: vitrivr at the lifelog search challenge


Links to Russian corpora + Python functions for loading and parsing

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box
  Machine-Generated Text Detection

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

A Family of Pretrained Transformer Language Models for Russian


A task group  of the "Species Information Interest Group" set to develop a set of vocabulary terms that can be used to describe different aspects of biological species

How species interactions are managed in Plinian Core: Status and questions

Comparison of species information TDWG standards from the point of view of the Plinian Core specification

Biodiversity Information Science and Standards

Hemi- and Homonyms in the Big Data Era

Sharing Species Pages in the Atlas of Living Costa Rica using Plinian Core


Clonal dynamics of haematopoiesis across the human lifespan

phylodyn: an R package for phylodynamic simulation and inference

Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference

Estimating effective population size changes from preferentially sampled genetic sequences

Clonality and timing of relapsing colorectal cancer metastasis revealed through whole-genome single-cell sequencing


R Wrapper for the Energy Information Administration (EIA) API


Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.

PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time

Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games

Automatic Verification of Concurrent Stochastic Systems

Multi-player Equilibria Verification for Concurrent Stochastic Games

Probabilistic Model Checking for Strategic Equilibria-based Decision
  Making: Advances and Challenges


Equation-Free function toolbox for Matlab/Octave

A toolbox of equation-free functions in Matlab/Octave for efficient system level simulation

Equation-free patch scheme for efficient computational homogenisation via self-adjoint coupling


Tools for working with Hansen et al. Global Forest Change dataset


A code for velocity-based Lagrangian and Eulerian PT expansions of redshift-space distortions.

Cosmological constraints from unWISE and Planck CMB lensing tomography

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Journal of Cosmology and Astroparticle Physics

Redshift-space distortions in Lagrangian perturbation theory

Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

Cosmology at high redshift -- a probe of fundamental physics

Cosmological analysis of three-dimensional BOSS galaxy clustering and Planck CMB lensing cross correlations via Lagrangian perturbation theory

Cross-correlation of Planck CMB lensing with DESI-like LRGs

Monthly Notices of the Royal Astronomical Society

Neural network acceleration of large-scale structure theory calculations

Accurate predictions from small boxes: variance suppression via the Zel'dovich approximation

Journal of cosmology and astroparticle physics

The bacco simulation project: bacco hybrid Lagrangian bias expansion model in redshift space


DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

Pseudo Numerical Methods for Diffusion Models on Manifolds

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to
  Speech

Learning the Beauty in Songs: Neural Singing Voice Beautifier

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

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


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


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

Semi-Parametric Neural Image Synthesis

Instance-Conditioned GAN

Controllable Image Generation via Collage Representations

Instance-Conditioned GAN Data Augmentation for Representation Learning


Resources related to the Free Waveform Sequence (FWF)

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)

Extrapolation-Based References Improve Motion and Eddy-Current Correction of High B-Value DWI Data: Application in Parkinson's Disease Dementia

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

Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding

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

Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution

Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

Journal of magnetic resonance (San Diego, Calif. : 1997)

Visualizing orientation-specific relaxation-diffusion features mapped onto orientation distribution functions estimated via nonparametric Monte Carlo MRI signal inversion


Specification of NAF, the NLP annotation format

Large-scale Cross-lingual Language Resources for Referencing and Framing

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

A Tree Extension for CoNLL-RDF

Combining Conceptual and Referential Annotation to Study Variation in Framing


:books: R interface to the Bio-Formats library

An Optogenetic Method to Modulate Cell Contractility during Tissue Morphogenesis

Fine-Tuning Cardiac Insulin-Like Growth Factor 1 Receptor Signaling to Promote Health and Longevity

Autoimmunity affecting the biliary tract fuels the immunosurveillance of cholangiocarcinoma

The Journal of experimental medicine/The journal of experimental medicine

Exploring the Limits of Combined Image/'omics Analysis for Non-cancer Histological Phenotypes


This is the qualR package, it will help you bring São Paulo and Rio de Janeiro air quality data to your R session :brazil:.


A collection of functions for working with DNA methylation microarrays (quality control, pre-processing, LC estimation, ...)

Improved filtering of DNA methylation microarray data by detection p-values and its impact on downstream analyses

Zenodo (CERN European Organization for Nuclear Research)

Saliva cell type DNA methylation reference panel for epidemiological studies in children

Reduction in Epigenetic Age Acceleration Is Related to Empathy in Mothers with Neglectful Caregiving

Saliva cell type DNA methylation reference panel for epidemiology studies in children


Word to Gaussian Mixture Model

Probabilistic FastText for Multi-Sense Word Embeddings

Multimodal Word Distributions

Word2Sense: Sparse Interpretable Word Embeddings

Meeting of the Association for Computational Linguistics

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection


My version of Dunc Lorimer's public free searching software

Discovery of two new pulsars in 47 Tucanae (NGC 104)

Monthly Notices of the Royal Astronomical Society: Letters

An investigation of pulsar searching techniques with the fast folding algorithm

The Implementation of a Fast-folding Pipeline for Long-period Pulsar Searching in the PALFA Survey

A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data

Research in Astronomy and Astrophysics/Research in astronomy and astrophysics

kern

Shakespeare and National Identity : A Dictionary

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

The GMRT High Resolution Southern Sky Survey for Pulsars and Transients. III. Searching for Long-period Pulsars

Coherent search for binary pulsars across all Five Keplerian parameters in radio observations using the template-bank algorithm

Installation and Use of Pulsar Search Software

A Post-correlation Beamformer for Time-domain Studies of Pulsars and Transients


Learning deep kernels for exponential family densities

Exponential Family Estimation via Adversarial Dynamics Embedding

Bridging the Gap Between f-GANs and Wasserstein GANs

Batch Stationary Distribution Estimation


Open source atmosphere-ocean gas flux data processing tools. Example uses i) calculating global/regional gas fluxes and net integrated values using satellite Earth, model or in situ data (or any combination), ii) uncertainty analyses (eg ensemble runs, input data uncertainty, model uncertainty), iii) evaluating novel gas transfer parameterisations.

FluxEngine: A flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies

Journal of atmospheric and oceanic technology

The FluxEngine air–sea gas flux toolbox: simplified interface and extensions for in situ analyses and multiple sparingly soluble gases


A package for clustering of Signed Networks

SPONGE: A generalized eigenproblem for clustering signed networks

SSSNET: Semi-Supervised Signed Network Clustering

Advances in scaling community discovery methods for signed graph networks

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


A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

Layer Normalization

Theano: A Python framework for fast computation of mathematical expressions

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Efficient Memory Management for GPU-based Deep Learning Systems

Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design


A Simple and Effective Baseline for Text-to-Image Synthesis (CVPR2022 oral)

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks


SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

A Simple Framework for Contrastive Learning of Visual Representations

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

On Initial Pools for Deep Active Learning

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Unsupervised Manifold Linearizing and Clustering

Unsupervised Learning under Latent Label Shift

Out-of-Distribution Detection Without Class Labels

Discriminative Entropy Clustering and its Relation to K-means and SVM


Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Searching for MobileNetV3

MnasNet: Platform-Aware Neural Architecture Search for Mobile

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

MixConv: Mixed Depthwise Convolutional Kernels

If your data distribution shifts, use self-learning


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

Rethinking the Inception Architecture for Computer Vision

Demystifying MMD GANs

Improved Precision and Recall Metric for Assessing Generative Models

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

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

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

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

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


QE-GIPAW for Quantum-Espresso (official repository)

Probing the Coherence of Solid-State Qubits at Avoided Crossings

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

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


The jBPT code library is a compendium of technologies that support research on design, execution, and evaluation of business processes. The library offers a broad range of basis analysis and utility functionality and, due to its open publishing model, can easily be extended.

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining


[ACM MM2019] Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation

Semantic Amodal Segmentation

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)


The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.

Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations

Machine learning and knowledge extraction

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations

A Functional Interpolation Approach to Compute Periodic Orbits in the Circular-Restricted Three-Body Problem

Orbit transfer using Theory of Functional Connections via change of variables

The European physical journal. Special topics

The Theory of Functional Connections on Vector Spaces

Theory of Functional Connections and Nelder-Mead optimization methods
  applied in satellite characterization


A preprocessing and QC pipeline for HiChIP data

hichipper: a preprocessing pipeline for calling DNA loops from HiChIP data

MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments

Integrative analysis of vascular endothelial cell genomic features identifies AIDA as a coronary artery disease candidate gene

Manipulation of TAD reorganization by chemical-dependent genome linking


A high-fidelity E. coli RNA-seq compendium

The Escherichia coli transcriptome mostly consists of independently regulated modules

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning

Revealing 29 sets of independently modulated genes in Staphylococcus aureus, their regulators, and role in key physiological response

Independent component analysis recovers consistent regulatory signals from disparate datasets

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility

Matrix factorization recovers consistent regulatory signals from disparate datasets


UNMAINTAINED - use klusta instead

High-dimensional cluster analysis with the Masked EM Algorithm

Impaired path integration in mice with disrupted grid cell firing

Dynamic control of hippocampal spatial coding resolution by local visual cues

Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges

Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input

Highly structured, partner-sex- and subject-sex-dependent cortical responses during social facial touch

Resolution of Spike Overlapping by Biogeography-Based Optimization

Coding of self-motion-induced and self-independent visual motion in the rat dorsomedial striatum

All-viral tracing of monosynaptic inputs to single birthdate-defined neurons in the intact brain


Surrogate Assisted Feature Extraction

Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering

SAFE ML: Surrogate Assisted Feature Extraction for Model Learning

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model


A phenotype-based tool for variant prioritization in WES and WGS data

DeepPVP: phenotype-based prioritization of causative variants using deep learning

Semantic prioritization of novel causative genomic variants

Artificial Intelligence and Cardiovascular Genetics

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants


Awesome Protein Representation Learning

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

A Survey on Protein Representation Learning: Retrospect and Prospect


Convolutional 2D Knowledge Graph Embeddings

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

International Conference on Learning Representations

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding


This repository includes the code to reproduce our paper "End-to-end anti-spoofing with RawNet2" (https://arxiv.org/abs/2011.01108) published in ICASSP '21.

End-to-end anti-spoofing with RawNet2

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems


Official code for MatrixVT on BEVDepth.

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

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

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


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

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

Monthly notices of the Royal Astronomical Society

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

A MODEST review


Text classifier for Hierarchical Attention Networks for Document Classification

A Survey on Text Classification: From Shallow to Deep Learning

Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

Multi-label Categorization of Accounts of Sexism using a Neural Framework


OntoMaton facilitates ontology search and tagging functionalities within Google Spreadsheets.

Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web

The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary

Database : the journal of biological databases and curation

OntoMaton: a Bioportal powered ontology widget for Google Spreadsheets


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

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

SVclone: inferring structural variant cancer cell fraction

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


BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Neural Attention Distillation: Erasing Backdoor Triggers from Deep
  Neural Networks

Webly-Supervised Fine-Grained Recognition with Partial Label Learning

Backdoor Attack through Frequency Domain

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


Baidu's open-source Sentiment Analysis System.

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph

Grammar Based Directed Testing of Machine Learning Systems

Local COVID-19 Severity and Social Media Responses: Evidence From China

IEEE access : practical innovations, open solutions

Think Twice: A Human-like Two-stage Conversational Agent for Emotional
  Response Generation

A Multitask Learning Framework for Abuse Detection and Emotion Classification

Identification of tourists’ dynamic risk perception—the situation in Tibet

Humanities and Social Sciences Communications

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation

How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback


A macroscopic multivehicle tesbed and hardware-in-the-loop simulator for autonomous driving

The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications

Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator

Autonomous Vehicle Calibration via Linear Optimization


PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Multivariate Time-series Anomaly Detection via Graph Attention Network

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability

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


Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

A Survey of Knowledge-enhanced Text Generation

Adversarial Machine Learning in Text Processing: A Literature Survey

Adversarial Machine Learning in Text Analysis and Generation

Knowledge-Enriched Natural Language Generation

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


A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Global Absence and Targeting of Protective Immune States in Severe COVID-19.

bioRxiv : the preprint server for biology

SARS-CoV-2 infection studies in lung organoids identify TSPAN8 as novel mediator

Single-Cell RNA Sequencing of Tocilizumab-Treated Peripheral Blood Mononuclear Cells as an in vitro Model of Inflammation

Systematic benchmarking of single-cell ATAC-sequencing protocols

Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease

Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles


Library of approximate arithmetic circuits

EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods

PROCEEDINGS OF THE 2017 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)

Design of power-efficient approximate multipliers for approximate artificial neural networks

International Conference on Computer Aided Design

Evolutionary Approach to Approximate Digital Circuits Design

IEEE transactions on evolutionary computation

Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error

IEEE transactions on very large scale integration (VLSI) systems

ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems

PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

Role of circuit representation in evolutionary design of energy-efficient approximate circuits

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems


Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search" by David Maxwell Chickering.

Causal Discovery for Fairness

Characterization and Greedy Learning of Gaussian Structural Causal
  Models under Unknown Interventions

From Causal Pairs to Causal Graphs


10x Genomics Reads Simulator

LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning

Hap10: reconstructing accurate and long polyploid haplotypes using linked reads

Reconstruction of Microbial Haplotypes by Integration of Statistical and Physical Linkage in Scaffolding


EfficientDet: Scalable and Efficient Object Detection

A ConvNet for the 2020s

YOLOX: Exceeding YOLO Series in 2021

BEiT: BERT Pre-Training of Image Transformers

MLP-Mixer: An all-MLP Architecture for Vision

ResNeSt: Split-Attention Networks

Designing Network Design Spaces

Swin Transformer V2: Scaling Up Capacity and Resolution

Bottleneck Transformers for Visual Recognition

PVT v2: Improved baselines with Pyramid Vision Transformer


gnn explainer

Deep Learning on Graphs: A Survey

GNNExplainer: Generating Explanations for Graph Neural Networks

PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Nearest neighbor search with compact codes: A decoder perspective

Jointly Attacking Graph Neural Network and its Explanations

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation

Perturb more, trap more: Understanding behaviors of graph neural networks

On the Probability of Necessity and Sufficiency of Explaining Graph
  Neural Networks: A Lower Bound Optimization Approach

Globally Interpretable Graph Learning via Distribution Matching


Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

Muse: Text-To-Image Generation via Masked Generative Transformers


Build neural networks for machine learning force fields with JAX

So3krates: Equivariant attention for interactions on arbitrary
  length-scales in molecular systems

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Stress and heat flux via automatic differentiation


Kernel Density Estimation and (re)sampling

Basic considerations for the observability of kinematically offset binary AGN

Monthly Notices of the Royal Astronomical Society

Gravitational self-lensing in populations of massive black hole binaries

Mass Ratios of Merging Double Neutron Stars as Implied by the Milky Way Population

The optical properties of three Type II supernovae: 2014cx, 2014cy, and 2015cz


Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

The Geometry of Deep Generative Image Models and its Applications

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Microstructure and properties of nitrogen ion implantation/AlN/CrAlN/MoS2-phenolic resin duplex coatings on magnesium alloys

Amplifying The Uncanny

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

Feature Unlearning for Pre-trained GANs and VAEs

Optimizing Intermediate Representations of Generative Models for Phase
  Retrieval


A python toolkit for analysing membrane protein-lipid interactions.

Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins

The Glycosphingolipid GM3 Modulates Conformational Dynamics of the Glucagon Receptor

Mass spectrometry captures biased signalling and allosteric modulation of a G-protein-coupled receptor

A Web-Based Framework for the Automated Data Analysis and Visualization of Lipid-Protein Interactions

Peptidoglycan biosynthesis is driven by lipid transfer along enzyme-substrate affinity gradients

In Silico Identification of Cholesterol Binding Motifs in the Chemokine Receptor CCR3

GPCR Oligomerisation Modulation by Conformational State and Lipid Interactions Revealed by MD Simulations and Markov Models

The energetics and ion coupling of cholesterol transport through Patched1


A pipeline for running AMRfinderPlus and collating results into functional classes

Evolutionary dynamics of multidrug resistant Salmonella enterica serovar 4,[5],12:i:- in Australia

Prolonged Outbreak of Multidrug-Resistant Shigella sonnei Harboring bla(CTX-M-27) in Victoria, Australia

Genomic Epidemiology and Antimicrobial Resistance Mechanisms of Imported Typhoid in Australia

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Hidden Resistances: How Routine Whole-Genome Sequencing Uncovered an Otherwise Undetected blaNDM-1 Gene in Vibrio alginolyticus from Imported Seafood


An algorithm for learning optimal decision trees, with Python interface

Learning Optimal Decision Trees Using Caching Branch-and-Bound Search

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

Fast Sparse Decision Tree Optimization via Reference Ensembles

Probabilistic Dataset Reconstruction from Interpretable Models

Analysis of Machine Learning Approaches to Packing Detection

Fast Optimization of Weighted Sparse Decision Trees for use in Optimal
  Treatment Regimes and Optimal Policy Design

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent


Snippext: Semi-supervised Opinion Mining with Augmented Data

mixup: Beyond Empirical Risk Minimization

MixMatch: A Holistic Approach to Semi-Supervised Learning

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


Next generation event data ontology

Joint event extraction along shortest dependency paths using graph convolutional networks

Text Categorization for Conflict Event Annotation

COfEE: A Comprehensive Ontology for Event Extraction from text

Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction

Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks


StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.


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

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Fast Patch-based Style Transfer of Arbitrary Style

Correlation Alignment for Unsupervised Domain Adaptation

Neural Comic Style Transfer: Case Study


A MATLAB package for modelling multivariate stimulus-response data

Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research

An Analytical Framework of Tonal and Rhythmic Hierarchy in Natural Music Using the Multivariate Temporal Response Function

Emergence of the cortical encoding of phonetic features in the first year of life


Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Active Learning Through a Covering Lens


Creative Commons Attribution 4.0 International

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Compositional Generalization in Unsupervised Compositional
  Representation Learning: A Study on Disentanglement and Emergent Language

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model

Differentiable Random Partition Models

From Identifiable Causal Representations to Controllable Counterfactual
  Generation: A Survey on Causal Generative Modeling


Audio super resolution using neural networks

Audio Super Resolution using Neural Networks

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations

WSRGlow: A Glow-based Waveform Generative Model for Audio
  Super-Resolution

Enabling Real-time On-chip Audio Super Resolution for Bone Conduction
  Microphones


Matlab Circular Statistics Toolbox

Dynamic control of hippocampal spatial coding resolution by local visual cues

Disrupting cortico-cerebellar communication impairs dexterity

Human interictal epileptiform discharges are bidirectional traveling waves echoing ictal discharges

V1 interneurons regulate the pattern and frequency of locomotor-like activity in the neonatal mouse spinal cord

Mediofrontal theta‐band oscillations reflect top‐down influence in the ventriloquist illusion

Transitions of motor neuron activities during Ciona development

Frontiers in cell and developmental biology


Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

For SALE: State-Action Representation Learning for Deep Reinforcement
  Learning

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse


Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

Scalable Recommendation with Poisson Factorization

LensKit for Python: Next-Generation Software for Recommender Systems Experiments

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Proceedings of the 9th International Conference on Digital Public Health

Deep Determinantal Point Processes

Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations


Classification of smart contract vulnerabilities

A Framework and DataSet for Bugs in Ethereum Smart Contracts

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract
  Weakness Enumeration

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract
  Vulnerabilities


Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization

Fairness Testing: A Comprehensive Survey and Analysis of Trends

The potential of artificial intelligence for achieving healthy and
  sustainable societies


tf-trusted allows you to run TensorFlow models in secure enclaves

CrypTen: Secure Multi-Party Computation Meets Machine Learning

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification

Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice

Smart App Attack: Hacking Deep Learning Models in Android Apps

Accelerating 2PC-based ML with Limited Trusted Hardware


Large-Scale Multi-Label Text Classification on EU Legislation

A Survey on Text Classification: From Shallow to Deep Learning

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