PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Wasserstein GAN

Improved Training of Wasserstein GANs

Deep Back-Projection Networks For Super-Resolution

Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

Вестник Томского государственного педагогического университета

Journey Towards Tiny Perceptual Super-Resolution

Revisiting RCAN: Improved Training for Image Super-Resolution

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution


10x Genomics Single Cell Analysis

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

CD28 costimulation drives tumor-infiltrating T cell glycolysis to promote inflammation

Pro-inflammatory T helper 17 directly harms oligodendrocytes in neuroinflammation

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

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

Gli3 utilizes Hand2 to synergistically regulate tissue-specific transcriptional networks

The immune landscape of human thymic epithelial tumors

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Peptide vaccine-treated, long-term surviving cancer patients harbor self-renewing tumor-specific CD8+ T cells

Single‐Cell Transcriptomics Reveals Longevity Immune Remodeling Features Shared by Centenarians and Their Offspring


NEWS: JATE2.0 Beta.11 Released, see details below.

JATE 2.0: Java Automatic Term Extraction with Apache Solr

SemRe-Rank

SemRe-Rank: Incorporating Semantic Relatedness to Improve Automatic Term Extraction Using Personalized PageRank.

An Efficient Approach for Super and Nested Term Indexing and Retrieval


BIRL: Benchmark on Image Registration methods with Landmark validations

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

Benchmarking of Image Registration Methods for Differently Stained Histological Slides

International Conference on Information Photonics

Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease


MPyC: Multiparty Computation in Python

Precision health data: Requirements, challenges and existing techniques for data security and privacy

DLT Based Authentication Framework for Industrial IoT Devices

A Verifiable Multiparty Computation Solver for the Assignment Problem
  and Applications to Air Traffic Management

HACCLE: metaprogramming for secure multi-party computation

SecureFedYJ: a safe feature Gaussianization protocol for Federated
  Learning

Symphony: Expressive Secure Multiparty Computation with Coordination

PoS4MPC: Automated Security Policy Synthesis for Secure Multi-party Computation


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

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

Kaptive Web: User-Friendly Capsule and Lipopolysaccharide Serotype Prediction for Klebsiella Genomes

Genomic surveillance for hypervirulence and multi-drug resistance in invasive Klebsiella pneumoniae from South and Southeast Asia

IntegronFinder 2.0: Identification and Analysis of Integrons across Bacteria, with a Focus on Antibiotic Resistance in Klebsiella

Resistance mechanisms and population structure of highly drug resistant Klebsiella in Pakistan during the introduction of the carbapenemase NDM-1

Global Trends in Proteome Remodeling of the Outer Membrane Modulate Antimicrobial Permeability in Klebsiella pneumoniae

Klebsiella pneumoniae carriage in low-income countries: antimicrobial resistance, genomic diversity and risk factors

Zenodo (CERN European Organization for Nuclear Research)

Genomic surveillance framework and global population structure for Klebsiella pneumoniae

Prevalence of hypervirulent and carbapenem-resistant Klebsiella pneumoniae under divergent evolutionary patterns


Read Until client library for Nanopore Sequencing

SquiggleFilter: An Accelerator for Portable Virus Detection

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

Benchmarking microbial DNA enrichment protocols from human intestinal biopsies


ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes

Receptor-Driven ERK Pulses Reconfigure MAPK Signaling and Enable Persistence of Drug-Adapted BRAF-Mutant Melanoma Cells

Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 severity

Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR

Single-cell tumor-immune microenvironment of BRCA1/2 mutated high-grade serous ovarian cancer

Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

IEEE transactions on visualization and computer graphics


Redundans is a pipeline that assists an assembly of heterozygous/polymorphic genomes.

Redundans: an assembly pipeline for highly heterozygous genomes

Genomic signatures of recent convergent transitions to social life in spiders

Multi-omics Investigation of Freeze Tolerance in the Amur Sleeper, an Aquatic Ectothermic Vertebrate


Double Dummy Solver written in C++ for the Bridge Card Game

Joint Policy Search for Multi-agent Collaboration with Imperfect Information

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement
  Learning


Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Deformable Convolutional Networks

Deformable ConvNets v2: More Deformable, Better Results

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution.

Target Detection and Classification Performance Enhancement Using Superresolution Infrared Videos

A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms


Python implementation of TPC-C

Architecture-Aware, High Performance Transaction for Persistent Memory

Enabling Strong Database Integrity using Trusted Execution Environments

Porting a benchmark with a classic workload to blockchain

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Palpatine: Mining Frequent Sequences for Data Prefetching in NoSQL Distributed Key-Value Stores

Optimistic Aborts for Geo-distributed Transactions


Library for computing persistent homology

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials

Generalized Penalty for Circular Coordinate Representation

Persistent homology advances interpretable machine learning for nanoporous materials.

Fuzzy c-Means Clustering for Persistence Diagrams

Algebraic and Geometric Models for Space Networking

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


Mie scattering of light by perfect spheres

Volumetric additive manufacturing of silica glass with microscale computed axial lithography

Assessment of Isoprene as a Possible Biosignature Gas in Exoplanets with Anoxic Atmospheres

Bulletin of the American Astronomical Society

Formamidinium Lead Halide Perovskite Nanocomposite Scintillators

Interstellar oxygen along the line of sight of Cygnus X-2

ALMA Observations of the DART Impact: Characterizing the Ejecta at
  Sub-Millimeter Wavelengths

Thermal radiation pressure as a possible mechanism for losing small particles on asteroids

Raynals, an online tool for the analysis of dynamic light scattering

Probing Magnetic Fields in Protoplanetary Disk Atmospheres through Polarized Near-IR Light Scattered by Aligned Grains


Tools test whether admixture occurred and more

Reconstructing the Deep Population History of Central and South America

The comparative genomics and complex population history of Papio baboons

Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization

Human population dynamics and Yersinia pestis in ancient northeast Asia

On the limits of fitting complex models of population history to f-statistics

Genome of a middle Holocene hunter-gatherer from Wallacea

Indian genetic heritage in Southeast Asian populations

Population dynamics and genetic connectivity in recent chimpanzee history

Genetics and Material Culture Support Repeated Expansions into Paleolithic Eurasia from a Population Hub Out of Africa

Genome of Peştera Muierii skull shows high diversity and low mutational load in pre-glacial Europe


Automatic fingering generator for piano scores

Score difficulty analysis for piano performance education based on
  fingering

Optimizing piano practice with a utility-based scaffold

Piano Fingering with Reinforcement Learning

Combining piano performance dimensions for score difficulty classification

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition


Python wrapper for OpenJTalk

Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for
  Text-to-Speech

Mid-attribute speaker generation using optimal-transport-based
  interpolation of Gaussian mixture models


:traffic_light: Visualizing publication-quality multiple sequence alignment using ggplot2

ggmsa: a visual exploration tool for multiple sequence alignment and associated data

A cis-acting structural variation at the ZNF558 locus controls a gene regulatory network in human brain development.

Large-Scale Genome Scanning within Exonic Regions Revealed the Contributions of Selective Sweep Prone Genes to Host Divergence and Adaptation in Magnaporthe oryzae Species Complex

RT-PCR/MALDI-TOF Diagnostic Target Performance Reflects Circulating SARS-CoV-2 Variant Diversity in New York City

The Journal of molecular diagnostics/The journal of molecular diagnostics

Chromosome-level genome of butterflyfish unveils genomic features of unique colour patterns and morphological traits

DNA research : an international journal for rapid publication of reports on genes and genomes


PDF to XML ALTO file converter

The Semantic Scholar Open Data Platform

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

Multimodal Machine Learning for Extraction of Theorems and Proofs in the
  Scientific Literature

Classification automatique de données déséquilibrées et bruitées : application aux exercices de manuels scolaires

Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case

International Conference on Content-Based Multimedia Indexing


Transfer Learning Library

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation


A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Decoupled Weight Decay Regularization

What do you learn from context? Probing for sentence structure in contextualized word representations

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge

International Conference on Computational Linguistics

ActKnow: Active External Knowledge Infusion Learning for Question
  Answering in Low Data Regime


Evaluation software used in the Text Retrieval Conference

Neural Vector Spaces for Unsupervised Information Retrieval

ACM transactions on office information systems

WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

International ACM SIGIR Conference on Research and Development in Information Retrieval

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Modularized Transfomer-based Ranking Framework

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

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

TripClick: The Log Files of a Large Health Web Search Engine

SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search

Query Reformulation using Query History for Passage Retrieval in Conversational Search


Python framework for inference in Hawkes processes.

Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

Scalable Bayesian Inference for Excitatory Point Process Networks

THAP: A Matlab Toolkit for Learning with Hawkes Processes

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process.

A Review of Network Inference Techniques for Neural Activation Time
  Series

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels


Package for interpreting scikit-learn's decision tree and random forest predictions.

A Survey on the Explainability of Supervised Machine Learning

Journal of artificial intelligence research/The journal of artificial intelligence research

Explainable AI for Trees: From Local Explanations to Global Understanding

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Machine Learning for the Zwicky Transient Facility

Publications of the Astronomical Society of the Pacific

Predicting disease-causing variant combinations

Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers

Understanding mutational effects in digenic diseases

Towards novel insights in lattice field theory with explainable machine learning

Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo

Learning from the machine: interpreting machine learning algorithms for point- and extended-source classification

Monthly notices of the Royal Astronomical Society


Retina blood vessel segmentation with a convolutional neural network

U-Net: Convolutional Networks for Biomedical Image Segmentation

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Sequential vessel segmentation via deep channel attention network

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

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population

Progressive Generative Adversarial Networks for Medical Image Super
  resolution

A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry

Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension

Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach

Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels


StableLM: Stability AI Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

LLM-powered Data Augmentation for Enhanced Cross-lingual Performance

Exploring New Frontiers in Agricultural NLP: Investigating the Potential
  of Large Language Models for Food Applications

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge
  Evaluation

Benchmarking and Defending Against Indirect Prompt Injection Attacks on
  Large Language Models

LLM4CBI: Taming LLMs to Generate Effective Test Programs for Compiler
  Bug Isolation

Unpacking the Ethical Value Alignment in Big Models

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

A Survey on Data Augmentation in Large Model Era


Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts


pycoQC computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller (Albacore/Guppy)

Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome

International journal of molecular sciences

Selective whole-genome sequencing ofPlasmodiumparasites directly from blood samples by Nanopore adaptive sampling

Genotyping of familial Mediterranean fever gene (MEFV)—Single nucleotide polymorphism—Comparison of Nanopore with conventional Sanger sequencing


C++ associative containers

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

The Case for Learned Index Structures

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

Motivo: fast motif counting via succinct color coding and adaptive sampling

Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations

Parallel Weighted Random Sampling

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

Faster Motif Counting via Succinct Color Coding and Adaptive Sampling

ACM transactions on knowledge discovery from data

Dynamic Path-Decomposed Tries


:postbox: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool For Genome-Wide Association Study

rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study

基因组蛋白质组与生物信息学报

Genome-Wide Association Study Reveals Novel Genomic Regions for Grain Yield and Yield-Related Traits in Drought-Stressed Synthetic Hexaploid Wheat

Trait associations in the pangenome of pigeon pea (Cajanus cajan)

Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.)

A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat

Detection of First Marker Trait Associations for Resistance Against Sclerotinia sclerotiorum in Brassica juncea–Erucastrum cardaminoides Introgression Lines

Molecular and genetic analysis of defensive responses of Brassica juncea – B. fruticulosa introgression lines to Sclerotinia infection

Genome-Wide Association Study for Multiple Biotic Stress Resistance in Synthetic Hexaploid Wheat

Genome-wide association study for yield and yield related traits under reproductive stage drought in a diverse indica-aus rice panel

Genetic Basis of Maize Resistance to Multiple Insect Pests: Integrated Genome-Wide Comparative Mapping and Candidate Gene Prioritization


pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation"  https://arxiv.org/abs/1612.00593

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud
  Representation

Explaining Deep Neural Networks for Point Clouds using Gradient-based
  Visualisations

Duodepth: Static Gesture Recognition Via Dual Depth Sensors

International Conference on Information Photonics


Sample Code for Gated Graph Neural Networks

Neural Message Passing for Quantum Chemistry

Modeling Relational Data with Graph Convolutional Networks

Gated Graph Sequence Neural Networks

Learning to Represent Programs with Graphs

Hyperbolic Graph Neural Networks

Generative Code Modeling with Graphs

Exploring Software Naturalness through Neural Language Models

AutoPandas: neural-backed generators for program synthesis

Proceedings of the ACM on programming languages

State of the Art and Potentialities of Graph-level Learning

A Survey of Deep Learning Models for Structural Code Understanding


R scripts for a GHG emissions indicator published on Environmental Reporting BC


SuperNovae in object-oriented Python (SNooPy)

SN 2013aa and SN 2017cbv: Two Sibling Type Ia Supernovae in the Spiral Galaxy NGC 5643

Are Type Ia Supernovae in Rest-frame H Brighter in More Massive Galaxies?

Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae


Cavity-modulated ionization potentials and electron affinities from quantum electrodynamics coupled-cluster theory

Enhanced diastereocontrol via strong light-matter interactions in an
  optical cavity

The journal of physical chemistry. A/The journal of physical chemistry. A.

Non-Hermitian Cavity Quantum Electrodynamics - Configuration Interaction Singles Approach for Polaritonic Structure with ab initio Molecular Hamiltonians

Challenges for variational reduced-density-matrix theory with three-particle N-representability conditions

Reduced-density-matrix-based ab initio cavity quantum electrodynamics

Assessing the Effects of Orbital Relaxation and the Coherent-State
  Transformation in Quantum Electrodynamics Density Functional and
  Coupled-Cluster Theories

Single reference treatment of strongly correlated H_4 and H_10
  isomers with Richardson-Gaudin states


Public repository of the CLASS code that has the functionality of producing delensed CMB spectra and lensing-reconstruction noise spectra, for given CMB experimental specifications. Code can also be used as a submodule of the Fisher forecasting tool https://github.com/ctrendafilova/FisherLens.

The Benefits of CMB Delensing

The impact of cross-covariances between the CMB and reconstructed lensing power

Beyond Fisher forecasting for cosmology

Improving constraints on models addressing the Hubble tension with CMB delensing


Python code to interface with halo catalogs and other Abacus N-body data products

ABACUSSUMMIT: a massive set of high-accuracy, high-resolution N-body simulations

Stringent σ8 constraints from small-scale galaxy clustering using a hybrid MCMC plus emulator framework

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

Illustrating galaxy–halo connection in the DESI era with illustrisTNG

Monthly Notices of the Royal Astronomical Society

Going Beyond the Galaxy Power Spectrum: an Analysis of BOSS Data with
  Wavelet Scattering Transforms

The halo light cone catalogues of AbacusSummit

Full forward model of galaxy clustering statistics with AbacusSummit
  lightcones

Precise Cosmological Constraints from BOSS Galaxy Clustering with a
  Simulation-Based Emulator of the Wavelet Scattering Transform

Planting a Lyman alpha forest on AbacusSummit

Mitigating the noise of DESI mocks using analytic control variates


Code for simulating skies for 21cm Intensity Mapping, including galactic and extragalactic foregrounds.

21 cm Signal Recovery via Robust Principal Component Analysis

Ionospheric Attenuation of Polarized Foregrounds in 21 cm Epoch of Reionization Measurements: A Demonstration for the HERA Experiment

Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response

Antisymmetric Cross-correlation between H i and CO Line Intensity Maps as a New Probe of Cosmic Reionization

A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping

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


Oil Production Greenhouse Gas Emissions Estimator


Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging

Cortical recycling in high-level visual cortex during childhood development

qMRLab: Quantitative MRI analysis, under one umbrella

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

Microstructural plasticity in the bilingual brain

Diffusivity and quantitative T1 profile of human visual white matter tracts after retinal ganglion cell damage

Infants’ cortex undergoes microstructural growth coupled with myelination during development

White matter fascicles and cortical microstructure predict reading-related responses in human ventral temporal cortex

Microstructural deficits of the thalamus in major depressive disorder

Predicting Neural Response Latency of the Human Early Visual Cortex from MRI-Based Tissue Measurements of the Optic Radiation


Code base for the U.S. EPA’s Atmospheric Model Evaluation Tool (AMET)

The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation


NequIP is a code for building E(3)-equivariant interatomic potentials

SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

Fast Uncertainty Estimates in Deep Learning Interatomic Potentials

Data efficiency and extrapolation trends in neural network interatomic potentials

Complexity of Many-Body Interactions in Transition Metals via
  Machine-Learned Force Fields from the TM23 Data Set

Coarse-Graining with Equivariant Neural Networks: A Path Towards
  Accurate and Data-Efficient Models

DPA-2: Towards a universal large atomic model for molecular and material
  simulation

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

Beyond MD17: the reactive xxMD dataset


spatially-resolved ESM-specific multi-scenario initial-condition ensemble emulator

From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3)


A Squeak/Smalltalk VM and Polyglot Programming Environment for the GraalVM.

Example-based live programming for everyone: building language-agnostic tools for live programming with LSP and GraalVM

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

GraalSqueak: A Fast Smalltalk Bytecode Interpreter Written in an AST Interpreter Framework

Implementation, Compilation, Optimization of Object-Oriented Languages, Programs and Systems

The Role of Institutional and Political Factors in the European Debt Crisis

GraalSqueak: toward a smalltalk-based tooling platform for polyglot programming

Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes

Language-independent development environment support for dynamic runtimes

PROCEEDINGS OF THE 15TH ACM SIGPLAN INTERNATIONAL SYMPOSIUM ON DYNAMIC LANGUAGES (DLS '19)

User-defined interface mappings for the GraalVM

International Conference on the Art, Science and Engineering of Programming

Efficient implementation of Smalltalk activation records in language implementation frameworks

Proceedings of the Conference Companion of the 3rd International Conference on Art, Science, and Engineering of Programming

Let them fail

Polyglot code finder


Python library to interface with CATMAID servers. Fully interoperable with navis.

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

A Neural Circuit Arbitrates between Persistence and Withdrawal in Hungry Drosophila

Input Connectivity Reveals Additional Heterogeneity of Dopaminergic Reinforcement in Drosophila

Synaptic targets of photoreceptors specialized to detect color and skylight polarization in Drosophila


A toolkit to help generate renewable energy generation time-series for energy systems analysis

Robust design of a future 100% renewable european energy supply system with hydrogen infrastructure

International journal of hydrogen energy


Minterpy - Multivariate interpolation in Python.

Extraction of the frequency moments of spectral densities from imaginary-time correlation function data

Multivariate Polynomial Regression of Euclidean Degree Extends the
  Stability for Fast Approximations of Trefethen Functions

Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics
  Informed Neural Nets and strengthens their Approximation Power

Global Polynomial Level Sets for Numerical Differential Geometry of
  Smooth Closed Surfaces

Learning Partial Differential Equations by Spectral Approximates of
  General Sobolev Spaces

High-Order Integration on regular triangulated manifolds reaches
  Super-Algebraic Approximation Rates through Cubical Re-parameterizations


TensorFlow (Python API) implementation of Neural Style

A Neural Algorithm of Artistic Style

Artistic Style Transfer for Videos

Preserving Color in Neural Artistic Style Transfer

Fashioning with Networks: Neural Style Transfer to Design Clothes


A robust Python tool for text-based AI training and generation using GPT-2.

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain
  Chatbots

DAVE: Deriving Automatically Verilog from English

Teaching Autoregressive Language Models Complex Tasks By Demonstration

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models


Mathematica package for algebraic calculations in elementary particle physics.

New developments in FeynCalc 9.0

FeynCalc 9.3: New features and improvements

FeynCalc goes multiloop

FeynCalc 10: Do multiloop integrals dream of computer codes?


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

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

Collecting complex activity datasets in highly rich networked sensor environments

International Conference on Networked Sensing Systems

SenSys - Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition

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

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

IEEE International Conference on Pervasive Computing and Communications

Wearables in the wet lab

Tutorial on Deep Learning for Human Activity Recognition


Methods for Image-Based Cell Profiling

CellProfiler 3.0: Next-generation image processing for biology

A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay

RNA Interference (RNAi) Screening in Drosophila

BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity

bioRxiv : the preprint server for biology

Reproducible image-based profiling with Pycytominer.

In vitro neutrophil migration is associated with inhaled corticosteroid treatment and serum cytokines in pediatric asthma


Elegant and Easy Tweet Preprocessing in Python

BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter

Leveraging Multilingual Transformers for Hate Speech Detection.

Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)

Implicit Sentiment Analysis with Event-centered Text Representation

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

One to rule them all: Towards Joint Indic Language Hate Speech Detection

Task Adaptive Pretraining of Transformers for Hostility Detection

Fluctuations of psychological states on Twitter before and during COVID-19

HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier

North American Chapter of the Association for Computational Linguistics

BOUN-TABI@SMM4H’22: Text-to-Text Adverse Drug Event Extraction with Data Balancing and Prompting


Fetch NCDC ISD, TMY3, or CZ2010 weather data that corresponds to ZIP Code Tabulation Areas or Latitude/Longitude.


Partial Volume Correction in PET

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme

Clinica: an open source software platform for reproducible clinical neuroscience studies

Choroid Plexus Enlargement in Inflammatory Multiple Sclerosis: 3.0-T MRI and Translocator Protein PET Evaluation

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Disentangling the effects of Alzheimer’s and small vessel disease on white matter fibre tracts

Pypes: Workflows for Processing Multimodal Neuroimaging Data

Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer’s Disease

Error propagation analysis of seven partial volume correction algorithms for [18F]THK-5351 brain PET imaging


A package to quickly visualise risk-of-bias assessment results

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

The Effects of Upper-Body Exoskeletons on Human Metabolic Cost and Thermal Response during Work Tasks—A Systematic Review

International journal of environmental research and public health

Strain-specific and outcome-specific efficacy of probiotics for the treatment of irritable bowel syndrome: A systematic review and meta-analysis

Use of Apps to Promote Childhood Vaccination: Systematic Review

Therapeutic efficacy of umbilical cord-derived stem cells for diabetes mellitus: a meta-analysis study

Factors Influencing the Efficacy of COVID-19 Vaccines: A Quantitative Synthesis of Phase III Trials

Immersive Virtual Reality as Analgesia during Dressing Changes of Hospitalized Children and Adolescents with Burns: A Systematic Review with Meta-Analysis

The Role of Spinal Orthoses in Osteoporotic Vertebral Fractures of the Elderly Population (Age 60 Years or Older): Systematic Review

Oral magnesium supplementation for insomnia in older adults: a Systematic Review & Meta-Analysis

The Effect of Telehealth on Hospital Services Use: Systematic Review and Meta-analysis


automated photometry pipeline for small to medium-sized observatories

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry

VaST: a variability search toolkit

High Confidence Optical Confirmations among the High Signal-to-noise Planck Cluster Candidates


CheXpert NLP tool to extract observations from radiology reports.

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Deep learning in generating radiology reports: A survey

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening

Structured dataset documentation: a datasheet for CheXpert

Cross-modal Contrastive Attention Model for Medical Report Generation

International Conference on Computational Linguistics

Significantly Improving Zero-Shot X-ray Pathology Classification via
  Fine-tuning Pre-trained Image-Text Encoders

Leveraging Professional Radiologists' Expertise to Enhance LLMs'
  Evaluation for Radiology Reports


The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset


Open mesh-to-mesh registration framework

MeshMonk: Open-source large-scale intensive 3D phenotyping

Insights into the genetic architecture of the human face

Precise modulation of transcription factor levels identifies features underlying dosage sensitivity

Precise modulation of transcription factor levels reveals drivers of dosage sensitivity


An R package to import Water Survey of Canada hydrometric data and make it tidy

tidyhydat: Extract and Tidy Canadian Hydrometric Data


Portable RISC-V System-on-Chip implementation: RTL, debugger and simulators

Node Monitoring as a Fault Detection Countermeasure against Information Leakage within a RISC-V Microprocessor


An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

The structural context of posttranslational modifications at a proteome-wide scale

AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge


Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Automatic Posterior Transformation for Likelihood-Free Inference

Flexible statistical inference for mechanistic models of neural dynamics

SBI -- A toolkit for simulation-based inference

Distinct synaptic transfer functions in same-type photoreceptors

Near-optimal rotation of colour space by zebrafish cones in vivo


generation of Sobol low-discrepancy sequence (LDS) for the Julia language

Surrogate Assisted Methods for the Parameterisation of Agent-Based Models

A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations

Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study

Deterministic and quasi-random sampling of optimized Gaussian mixture
  distributions for vibronic Monte Carlo


GrapeTree is a fully interactive, tree visualization program, which supports facile manipulations of both tree layout and metadata. Click the first link to launch: https://achtman-lab.github.io/GrapeTree/MSTree_holder.html

GrapeTree: visualization of core genomic relationships among 100,000 bacterial pathogens

Whole-Genome Sequencing Analysis of Salmonella Enterica Serotype Enteritidis Isolated from Poultry Sources in South Korea, 2010–2017

Prevalence and distribution of multilocus sequence types of Staphylococcus aureus isolated from bulk tank milk and cows with mastitis in Pennsylvania

Genomic Background and Phylogeny of cfiA-Positive Bacteroides fragilis Strains Resistant to Meropenem-EDTA

Atypical Serogroup IVb-v1 of Listeria monocytogenes Assigned to New ST2801, Widely Spread and Persistent in the Environment of a Pork-Meat Producing Plant of Central Italy

Listeria monocytogenes in ready to eat meat products from Zambia: phenotypical and genomic characterization of isolates

Molecular Capture of Mycobacterium tuberculosis Genomes Directly from Clinical Samples: A Potential Backup Approach for Epidemiological and Drug Susceptibility Inferences

International journal of molecular sciences

Retrospective Investigation of the Whole Genome of the Hypovirulent Listeria monocytogenes Strain of ST201, CC69, Lineage III, Isolated from a Piglet with Fatal Neurolisteriosis


MultiZone® Security TEE is the quick and safe way to add security and separation to any RISC-V processors. The RISC-V standard ISA doesn't define TrustZone-like primitives to provide hardware separation. To shield critical functionality from untrusted third-party components, MultiZone provides hardware-enforced, software-defined separation of multi


This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene
  Understanding Using Mobile RGB-D Data

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection


Knowledge Computing group - MSRA

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Meeting of the Association for Computational Linguistics

TIARA: Multi-grained Retrieval for Robust Question Answering over Large
  Knowledge Bases

On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning

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

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions


The system call intercepting library

A FaaS File System for Serverless Computing.

SaBRe: load-time selective binary rewriting

International journal on software tools for technology transfer

Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics

Zenodo (CERN European Organization for Nuclear Research)


The project is an official implement of our ECCV2018 paper  "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

Simple and Lightweight Human Pose Estimation

Pose Neural Fabrics Search

Spatial Shortcut Network for Human Pose Estimation


ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

Multi-View Active Learning for Short Text Classification in User-Generated Data

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

Active Learning Framework to Automate NetworkTraffic Classification

Re-Benchmarking Pool-Based Active Learning for Binary Classification


Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.

Hamiltonian Learning and Certification Using Quantum Resources

Quantum Hamiltonian learning using imperfect quantum resources

Physical review. A, Atomic, molecular, and optical physics/Physical review, A, Atomic, molecular, and optical physics

Accelerated randomized benchmarking

Quantum model averaging


A framework for the real-time network traffic analysis based on world-leading technologies for distributed stream processing, network traffic monitoring, and visualization.

Toward Stream-Based IP Flow Analysis

A performance benchmark for NetFlow data analysis on distributed stream processing systems

Network Operations and Management Symposium

Real-time analysis of NetFlow data for generating network traffic statistics using Apache Spark

A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection


Annotate quickly images.

Surgical Data Science -- from Concepts toward Clinical Translation

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Medical Image Computing and Computer-Assisted Intervention

Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications

Serial cryoFIB/SEM Reveals Cytoarchitectural Disruptions in Leigh Syndrome Patient Cells

Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3
  on Pavements in the Philippines

Artificial Intelligence-driven Image Analysis of Bacterial Cells and
  Biofilms

Behind-The-Scenes (BTS): Wiper-Occlusion Canceling for Advanced Driver Assistance Systems in Adverse Rain Environments

Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash

Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships


Finite-amplitude Impulse Response simple climate model

Comprehensive evidence implies a higher social cost of CO2

FAIR v1.3: a simple emissions-based impulse response and carbon cycle model

Current fossil fuel infrastructure does not yet commit us to 1.5 °C warming

A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions

An integrated approach to quantifying uncertainties in the remaining carbon budget

The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


ENCODE ATAC-seq pipeline

Base-resolution models of transcription factor binding reveal soft motif syntax

Activation of NF-κB and p300/CBP potentiates cancer chemoimmunotherapy through induction of MHC-I antigen presentation

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

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

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

Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities

TGFβ promotes widespread enhancer chromatin opening and operates on genomic regulatory domains

Massively parallel characterization of transcriptional regulatory elements in three diverse human cell types

Extensive co-binding and rapid redistribution of NANOG and GATA6 during emergence of divergent lineages

Evidence of pioneer factor activity of an oncogenic fusion transcription factor

Enhanced chromatin accessibility contributes to X chromosome dosage compensation in mammals


Proximal algorithms for nonsmooth optimization in Julia

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

Journal of mathematical imaging and vision

A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

Journal of optimization theory and applications

A splitting algorithm for dual monotone inclusions involving cocoercive operators

A Three-Operator Splitting Scheme and its Optimization Applications

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms

A Simple and Efficient Algorithm for Nonlinear Model Predictive Control

Asymmetric Forward-Backward-Adjoint Splitting for Solving Monotone
  Inclusions Involving Three Operators

Constrained composite optimization and augmented Lagrangian methods


Firmware for LibreSolar BMS boards based on bq769x0, bq769x2 or ISL94202


Tools for Easier Analysis of Meteorological Fields


This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Sato: Contextual Semantic Type Detection in Tables


A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Empirical Methods in Natural Language Processing

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Let Me Choose: From Verbal Context to Font Selection

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

Modulating Language Models with Emotions

Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in
  Twitter Conversations

Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks


The complete set of tools for energy consumption analysis of programming languages, using Computer Language Benchmark Game

Evaluation of Rust code verbosity, understandability and complexity


Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

URNet: A U-Shaped Residual Network for Lightweight Image Super-Resolution

Multi-Resolution Data Fusion for Super Resolution Imaging

Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy

Total Variation Optimization Layers for Computer Vision

A deep learning scheme for efficient multimedia IoT data compression

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained
  Optimization: A Deep Learning Approach

NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging
  Inverse Problems


Regression Modeling Strategies

Prediction of Global Functional Outcome and Post-Concussive Symptoms after Mild Traumatic Brain Injury: External Validation of Prognostic Models in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

A novel ferroptosis-related gene signature for overall survival prediction and immune infiltration in patients with breast cancer

Development and Validation of a Nomogram for Preoperative Prediction of Early Recurrence after Upfront Surgery in Pancreatic Ductal Adenocarcinoma by Integrating Deep Learning and Radiological Variables

An Immune Signature Robustly Predicts Clinical Deterioration for Hepatitis C Virus-Related Early-Stage Cirrhosis Patients


The mutational constraint spectrum quantified from variation in 141,456 humans

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Mapping and characterization of structural variation in 17,795 human genomes

Transcript expression-aware annotation improves rare variant interpretation

Estimating the selective effects of heterozygous protein-truncating variants from human exome data

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

Introducing COCOS: codon consequence scanner for annotating reading frame changes induced by stop-lost and frame shift variants

Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study

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

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

Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects


An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Sinkhorn Distances: Lightspeed Computation of Optimal Transport

Skeleton-bridged Point Completion: From Global Inference to Local Adjustment

Neural LiDAR Fields for Novel View Synthesis

NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from
  Multi-view Images

Towards 3D VR-Sketch to 3D Shape Retrieval

Mosaic-SDF for 3D Generative Models

Neural Field Movement Primitives for Joint Modelling of Scenes and Motions

3D VR Sketch Guided 3D Shape Prototyping and Exploration

2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image

3D Reconstruction in Noisy Agricultural Environments: A Bayesian
  Optimization Perspective for View Planning


Pretrained Transformers for Text Ranking: BERT and Beyond

Dense Text Retrieval based on Pretrained Language Models: A Survey

Simplified Data Wrangling with ir_datasets

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

OpenMatch: An Open Source Library for Neu-IR Research

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search.

OpenMatch: An Open-Source Package for Information Retrieval.

Wikiformer: Pre-training with Structured Information of Wikipedia for
  Ad-hoc Retrieval


A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

DreamFusion: Text-to-3D using 2D Diffusion

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

Nerfstudio: A Modular Framework for Neural Radiance Field Development


Depth-Aware Video Frame Interpolation (CVPR 2019)

Depth-Aware Video Frame Interpolation

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution.


A python package for accessing various properties of elements, ions and isotopes in the periodic table of elements.

The atlas of ferroicity in two-dimensional MGeX3 family: Room-temperature ferromagnetic half metals and unexpected ferroelectricity and ferroelasticity

Inverse Design of Hybrid Organic–Inorganic Perovskites with Suitable Bandgaps via Proactive Searching Progress

Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Predicting Segregation Energy in Single Atom Alloys Using Physics and Machine Learning

GlassNet: A multitask deep neural network for predicting many glass properties

Sim2Ls: FAIR simulation workflows and data

Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated
  Catalyst Design

NMR shift prediction from small data quantities


Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Neural Controlled Differential Equations for Irregular Time Series

Scalable Gradients for Stochastic Differential Equations

On Neural Differential Equations

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for
  Population Dynamics

Neural SDEs for Conditional Time Series Generation and the
  Signature-Wasserstein-1 metric

Latent Stochastic Differential Equations for Change Point Detection


RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

FacTool: Factuality Detection in Generative AI -- A Tool Augmented
  Framework for Multi-Task and Multi-Domain Scenarios

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

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


SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

AC Power Flow Data in MATPOWER Format: iTesla, RTE Snapshots, and PEGASE

Spectrahedral Containment and Operator Systems with Finite-Dimensional Realization

SIAM journal on applied algebra and geometry

Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions

Type-Independent Characterization of Spacelike Separated Resources.

Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data

On the general constraints in single qubit quantum process tomography

Measures and LMIs for Adaptive Control Validation

Measures and LMIs for Lateral F-16 MRAC Validation

Semi-definite programming and quantum information

Elliptic polytopes and invariant norms of linear operators


SortMeRNA: next-generation sequence filtering and alignment tool

A simple guide to de novo transcriptome assembly and annotation

A Novel Inorganic Sulfur Compound Metabolizing Ferroplasma-Like Population Is Suggested to Mediate Extracellular Electron Transfer

Integrative omics framework for characterization of coral reef ecosystems from the Tara Pacific expedition

uORF-Tools—Workflow for the determination of translation-regulatory upstream open reading frames

Microbial Community and Metabolic Activity in Thiocyanate Degrading Low Temperature Microbial Fuel Cells

Raw transcriptomics data to gene specific SSRs: a validated free bioinformatics workflow for biologists

Functional meta-omics provide critical insights into long- and short-read assemblies

RAPIDprep: A Simple, Fast Protocol for RNA Metagenomic Sequencing of Clinical Samples

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study

Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review


Open-Source Machine Translation Quality Estimation in PyTorch

OpenKiwi: An Open Source Framework for Quality Estimation

Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

IST-Unbabel 2021 Submission for the Quality Estimation Shared Task

Tencent submission for WMT20 Quality Estimation Shared Task

TMUOU Submission for WMT20 Quality Estimation Shared Task

DeepSPIN: Deep Structured Prediction for Natural Language Processing

European Association for Machine Translation Conferences/Workshops

Rethink about the Word-level Quality Estimation for Machine Translation
  from Human Judgement

The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)


The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

IEEE transactions on pattern analysis and machine intelligence

Towards Fast, Accurate and Stable 3D Dense Face Alignment

Face Forgery Detection by 3D Decomposition

Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing

Face Synthesis for Eyeglass-Robust Face Recognition

DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image

Towards Pose-invariant Lip-Reading

Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from
  Videos

SPACE: Speech-driven Portrait Animation with Controllable Expression

Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation


Understand and mitigate software-observable side-channels

Swivel: Hardening WebAssembly against Spectre

Automatic Detection of Speculative Execution Combinations

Dynamic Process Isolation

MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption


Multi-objective Gymnasium environments for reinforcement learning

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning


EHT Image domain analysis through template matching.

First Sagittarius A* Event Horizon Telescope Results. IV. Variability, Morphology, and Black Hole Mass

First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center Supermassive Black Hole

Variational Image Feature Extraction for the Event Horizon Telescope

Measuring the Ellipticity of M 87* Images

Variational Image Feature Extraction for the EHT

Observing naked singularities by the present and next-generation Event
  Horizon Telescope


GROWTH Target of Opportunity Marshal

Kilonova Luminosity Function Constraints Based on Zwicky Transient Facility Searches for 13 Neutron Star Merger Triggers during O3

GROWTH on S190426c: Real-time Search for a Counterpart to the Probable Neutron Star–Black Hole Merger using an Automated Difference Imaging Pipeline for DECam

GROWTH on S190510g: DECam Observation Planning and Follow-up of a Distant Binary Neutron Star Merger Candidate

Dynamic scheduling: target of opportunity observations of gravitational wave events

Monthly notices of the Royal Astronomical Society

DECam-GROWTH Search for the Faint and Distant Binary Neutron Star and Neutron Star-Black Hole Mergers in O3a


An ontology of core ecological entities

FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies


Accelerated Reionization Era Simulations

Introducing SPHINX-MHD: the impact of primordial magnetic fields on the first galaxies, reionization, and the global 21-cm signal

Balancing the efficiency and stochasticity of star formation with dust
  extinction in z > 10 galaxies observed by JWST

Revealing the formation histories of the first stars with the cosmic near-infrared background

Constraining Warm Dark Matter and Population III Stars with the Global 21 cm Signal

Structure formation and the global 21-cm signal in the presence of Coulomb-like dark matter-baryon interactions

Global 21cm absorption signal from superconducting cosmic strings

Edges and Endpoints in 21-cm Observations from Resonant Photon Production

On the expected purity of photometric galaxy surveys targeting the Cosmic Dawn

Ensuring Robustness in Training Set Based Global 21-cm Cosmology Analysis

Signatures of reionization feedback in the near-infrared background


LatNet Builder: A General Software Tool For Constructing Highly Uniform Point Sets

A Tool for Custom Construction of QMC and RQMC Point Sets

Quasi-Monte Carlo Software

An algorithm to compute the t-value of a digital net and of its projections

Journal of computational and applied mathematics


PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks

Parallel model exploration for tumor treatment simulations

Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells

Computational and structural biotechnology journal


Code for "High-Precision Model-Agnostic Explanations" paper

Local Rule-Based Explanations of Black Box Decision Systems

Explainable AI Methods - A Brief Overview

Towards Faithful Model Explanation in NLP: A Survey

Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity

Journal of chemical information and modeling

A Sea of Words: An In-Depth Analysis of Anchors for Text Data

An investigation of interpretability techniques for deep learning in predictive process analytic

Faithful and Robust Local Interpretability for Textual Predictions

Interpretable Regional Descriptors: Hyperbox-Based Local Explanations

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


A model to predict Total ELectricity Loads (TELL)


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

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings


This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in two dimensions, on a multi-core shared-memory machine.

Fast Multipole Method for Gravitational Lensing: Application to High-magnification Quasar Microlensing

Integral formulation of Klein-Gordon singular waveguides

Fast, high-order numerical evaluation of volume potentials via polynomial density interpolation


Interactive Recommender Systems Framework

A Contextual-Bandit Approach to Personalized News Article Recommendation

Collaborative Filtering Bandits

Interactive collaborative filtering

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

A simple multi-armed nearest-neighbor bandit for interactive recommendation

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS


A tool for retrosynthetic planning

AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning

Datasets and Their Influence on the Development of Computer Assisted Synthesis Planning Tools in the Pharmaceutical Domain

Retrosynthetic Accessibility Score (RAscore) - Rapid Machine Learned Synthesizability Classification from AI Driven Retrosynthetic Planning

Clustering of Synthetic Routes Using Tree Edit Distance

Fast prediction of distances between synthetic routes with deep learning

Machine learning: science and technology

A Quick Policy to Filter Reactions Based on Feasibility in AI-Guided Retrosynthetic Planning

Beyond games: a systematic review of neural Monte Carlo tree search applications

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension


RPD Pipelines

Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment

Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities

Clinical cancer research : an official journal of the American Association for Cancer Research

Dynamic phenotypic heterogeneity and the evolution of multiple RNA subtypes in hepatocellular carcinoma: the PLANET study


Cancer Genome Project Insertion/Deletion detection pipeline based around Pindel

Prediction of acute myeloid leukaemia risk in healthy individuals

Tobacco smoking and somatic mutations in human bronchial epithelium

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

Mechanisms of APOBEC3 mutagenesis in human cancer cells

Recurrent intragenic rearrangements of EGFR and BRAF in soft tissue tumors of infants

Single cell derived mRNA signals across human kidney tumors

Abnormal oxidative metabolism in a quiet genomic background underlies clear cell papillary renal cell carcinoma

A recurrent novel MGA-NUTM1 fusion identifies a new subtype of high-grade spindle cell sarcoma.

Targeting MEK in vemurafenib-resistant hairy cell leukemia

A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression


A self-driving car simulator built with Unity

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

Minimum Error Entropy Kalman Filter

Efficient Decentralized Deep Learning by Dynamic Model Averaging

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

The Atari Grand Challenge Dataset

Review on Vehicle Detection Technology for Unmanned Ground Vehicles

A Survey on Automated Driving System Testing: Landscapes and Trends

Robust Behavioral Cloning for Autonomous Vehicles Using End-to-End Imitation Learning

SAE international journal of connected and automated vehicles


A PyTorch reimplementation of bottom-up-attention models

Object-aware Video-language Pre-training for Retrieval

A Multimodal Framework for the Detection of Hateful Memes

Guiding Visual Question Answering with Attention Priors


CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.


Python wrapper for the simple climate model MAGICC

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response


PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

UniCATS: A Unified Context-Aware Text-to-Speech Framework with
  Contextual VQ-Diffusion and Vocoding

Transduce and Speak: Neural Transducer for Text-to-Speech with Semantic
  Token Prediction

Acoustic BPE for Speech Generation with Discrete Tokens

Fewer-token Neural Speech Codec with Time-invariant Codes


A Survey on Data Plane Programming with P4: Fundamentals, Advances, and
  Applied Research

Automating In-Network Machine Learning

P4Testgen: An Extensible Test Oracle For P4

Open Source Compiling for V1Model RMT Switch: Making Data Center Networking Innovation Accessible


Version 2 of the minc-toolkit, uses tools based on ITK version 4.x

Large-scale comparative neuroimaging: Where are we and what do we need?

Cortex; a journal devoted to the study of the nervous system and behavior

An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra

Selection for increased tibia length in mice alters skull shape through parallel changes in developmental mechanisms

APPIAN: Automated Pipeline for PET Image Analysis

Ventricular features as reliable differentiators between bvFTD and other dementias

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

The PaleoArchiNeo (PAN) human brain atlas: A dataset on a standard neuroanatomical MRI template following a phylogenetic approach

Ventricle features as reliable differentiators between the bvFTD and
  other dementias


General Latent Feature Modeling for Heterogeneous data

Handling Incomplete Heterogeneous Data using VAEs

General Latent Feature Models for Heterogeneous Datasets

General Latent Feature Modeling for Data Exploration Tasks


NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.

Database resources of the National Center for Biotechnology Information

Optimization of Molecular Methods for Detecting Duckweed-Associated Bacteria

Genomic Diversity, Antimicrobial Resistance, Plasmidome, and Virulence Profiles of Salmonella Isolated from Small Specialty Crop Farms Revealed by Whole-Genome Sequencing


Draw UpSet plots with Matplotlib

Nanopore direct RNA sequencing maps an Arabidopsis N6 methyladenosine epitranscriptome

Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Isolation and Identification of Staphylococcus Species Obtained from Healthy Companion Animals and Humans

Antimicrobial Resistance and Extended-Spectrum Beta-Lactamase Genes in Enterobacterales, Pseudomonas and Acinetobacter Isolates from the Uterus of Healthy Mares


Open Climate Repo


This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

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

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization

Visual Speech Enhancement Without A Real Visual Stream

Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text

Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs

Vulnerability of Automatic Identity Recognition to Audio-Visual
  Deepfakes


Deep learning quantum Monte Carlo for electrons in real space

Deep neural network solution of the electronic Schrödinger equation

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Gold-standard solutions to the Schrödinger equation using deep
  learning: How much physics do we need?

Convergence to the fixed-node limit in deep variational Monte Carlo

Forward Laplacian: A New Computational Framework for Neural
  Network-based Variational Monte Carlo


An open source python library for scalable Bayesian optimisation.

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Predicting 3D genome folding from DNA sequence

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection


The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software

Accelerated derivative-free spectral residual method for nonlinear systems of equations.

Regularized Step Directions in Nonlinear Conjugate Gradient Methods


Summarize Massive Datasets using Submodular Optimization

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection

SPEAR : Semi-supervised Data Programming in Python

Submodlib: A Submodular Optimization Library

Neural Estimation of Submodular Functions with Applications to
  Differentiable Subset Selection


Open morphology for Finnish

Measuring Lexical Quality of a Historical Finnish Newspaper Collection ― Analysis of Garbled OCR Data with Basic Language Technology Tools and Means

Omorfi — Free and open source morphological lexical database for Finnish

Nordic Conference of Computational Linguistics

Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910

Using Morphological Knowledge in Open-Vocabulary Neural Language Models

North American Chapter of the Association for Computational Linguistics

Ground Truth OCR Sample Data of Finnish Historical Newspapers and Journals in Data Improvement Validation of a re-OCRing Process

Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling

Workshop on Statistical Machine Translation

Neural and rule-based Finnish NLP models—expectations, experiments and experiences

Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

Tagging Named Entities in 19th Century and Modern Finnish Newspaper Material with a Finnish Semantic Tagger

Initial Experiments in Data-Driven Morphological Analysis for Finnish

Proceedings of the Fourth International Workshop on Computatinal
          Linguistics of Uralic Languages

Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)


Data imputations library to preprocess datasets with missing data

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data

FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation
  and Prediction

Deep Learning for Multivariate Time Series Imputation: A Survey


Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Conditional Image Generation with PixelCNN Decoders

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Fixing a Broken ELBO

How good is my GAN?

Dual Supervised Learning

A Less Biased Evaluation of Out-of-distribution Sample Detectors

An information-theoretic analysis of deep latent-variable models

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

Fast Generation for Convolutional Autoregressive Models

Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors


Turn OpenStreetMap data and schedule information into GTFS


MasakhaNER: Named Entity Recognition for African Languages

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

Language Modelling with Pixels

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities


Demos and tutorials around Torch7.

Regularizing CNNs with Locally Constrained Decorrelations

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

Unbounded Bayesian Optimization via Regularization

Creation of a Deep Convolutional Auto-Encoder in Caffe


Elastic Malware Benchmark for Empowering Researchers

EMBER: An Open Dataset for Training Static PE Malware Machine Learning
  Models

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

A Review of Computer Vision Methods in Network Security

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

Sisyfos: A Modular and Extendable Open Malware Analysis Platform

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks

On the Limitations of Continual Learning for Malware Classification

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100
  Labels

A Wolf in Sheep’s Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks

A Comparison of State-of-the-Art Techniques for Generating Adversarial
  Malware Binaries


A fast, effective data attribution method for neural networks in PyTorch

TRAK: Attributing Model Behavior at Scale


auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

The ACM Multimedia 2022 Computational Paralinguistics Challenge:
  Vocalisations, Stuttering, Activity, & Mosquitoes

Multimodal Deep Learning Models for Detecting Dementia From Speech and Transcripts

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to
  Predict Sleepiness From Speech

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion
  Share & Requests

Classification of Speech with and without Face Mask using Acoustic Features


A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

xCell: digitally portraying the tissue cellular heterogeneity landscape

Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Comprehensive analyses of tumor immunity: implications for cancer immunotherapy

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types

Comprehensive Benchmarking and Integration of Tumor Microenvironment Cell Estimation Methods

Digital cell quantification identifies global immune cell dynamics during influenza infection

seq-ImmuCC: Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data


a free python grammar checker ✅

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks

Adaptive and Personalized Exercise Generation for Online Language Learning


VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.

Proximal Policy Optimization Algorithms

Counterexample-Guided Data Augmentation

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems

Ensuring Reliable Robot Task Performance through Probabilistic
  Rare-Event Verification and Synthesis


Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018

Real-world Anomaly Detection in Surveillance Videos

A MIL Approach for Anomaly Detection in Surveillance Videos from
  Multiple Camera Views


Hydrological Deep Learning

Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data

Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy


Unsupervised text tokenizer focused on computational efficiency

BPE-Dropout: Simple and Effective Subword Regularization

Single Headed Attention RNN: Stop Thinking With Your Head

Tensorized Embedding Layers for Efficient Model Compression

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

Tensorized Embedding Layers

NVIDIA NeMo Neural Machine Translation Systems for English-German and
  English-Russian News and Biomedical Tasks at WMT21

Fast Conformer with Linearly Scalable Attention for Efficient Speech
  Recognition

The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task

Empirical Methods in Natural Language Processing

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

Efficient Sequence Transduction by Jointly Predicting Tokens and
  Durations


EVNotify allows you to monitor your electric vehicle and let you notify when the specified preset state of charge has been achieved.


A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

DeMix Workflow for Efficient Identification of Cofragmented Peptides in High Resolution Data-dependent Tandem Mass Spectrometry

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization.

Predicting acute kidney injury in cancer patients using heterogeneous and irregular data

Forecasting of commercial sales with large scale Gaussian Processes

Concepts for Automated Machine Learning in Smart Grid Applications

Data-driven Fair Resource Allocation For Novel Emerging Epidemics: A
  COVID-19 Convalescent Plasma Case Study

Guiding Safe Exploration with Weakest Preconditions


SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.

Lagrangian Neural Style Transfer for Fluids

Numerical Study on the Hydrodynamic Characteristics of a Double-Row Floating Breakwater Composed of a Pontoon and an Airbag

Journal of marine science and engineering

Accelerating Surface Tension Calculation in SPH via Particle Classification and Monte Carlo Integration

A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling

A Variational Staggered Particle Framework for Incompressible Free-Surface Flows.


Datasets derived from US census data

Datasheets for Datasets

Retiring Adult: New Datasets for Fair Machine Learning

A survey on datasets for fairness-aware machine learning

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

Conference on Fairness, Accountability and Transparency

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome
  Homogenization?

Fairness Transferability Subject to Bounded Distribution Shift

Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization

From Shapley Values to Generalized Additive Models and back

Multiaccurate Proxies for Downstream Fairness

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased
  Training Data Points Without Refitting


The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

Towards Using Police Officers’ Business Smartphones for Contactless Fingerprint Acquisition and Enabling Fingerprint Comparison against Contact-Based Datasets

Learning Debiased and Disentangled Representations for Semantic Segmentation

FP8 versus INT8 for efficient deep learning inference


Spearmint Bayesian optimization codebase

Practical Bayesian Optimization of Machine Learning Algorithms

A Tutorial on Bayesian Optimization

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

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

Multi-Task Bayesian Optimization

Explainable Prediction of Medical Codes from Clinical Text

CMA-ES for Hyperparameter Optimization of Deep Neural Networks

Bayesian Optimization with Unknown Constraints

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Input Warping for Bayesian Optimization of Non-stationary Functions


Python implementation of CMA-ES

Scalable Global Optimization via Local Bayesian Optimization

Phoenics: A Bayesian Optimizer for Chemistry

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Policy Transfer with Strategy Optimization

Scalable Constrained Bayesian Optimization

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

Escaping local minima with local derivative-free methods: a numerical investigation


Shared repo for EM connectomics and Array Tomography render based image processing modules

Functional connectomics spanning multiple areas of mouse visual cortex

Petascale neural circuit reconstruction: automated methods

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

bioRxiv : the preprint server for biology

A scalable and modular automated pipeline for stitching of large electron microscopy datasets


A framework for high-level Analysis of Ethereum Bytecode

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

International Conference on Software Engineering

EthIR: A Framework for High-Level Analysis of Ethereum Bytecode

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A
  Survey

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

SAFEVM: A Safety Verifier for Ethereum Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey

Inferring Needless Write Memory Accesses on Ethereum Bytecode (Extended
  Version)

Empirical Review of Smart Contract and DeFi Security: Vulnerability
  Detection and Automated Repair


Matlab code to generate distributed power flow problems.

Distributed Power Flow and Distributed Optimization -- Formulation,
  Solution, and Open Source Implementation

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Rapid Scalable Distributed Power Flow with Open-Source Implementation


Tools for analyzing changes in diversity across scales

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients


SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes

Rotation Equivariant Siamese Networks for Tracking

Few-Shot Backdoor Attacks on Visual Object Tracking

SiamMan: Siamese Motion-aware Network for Visual Tracking

Tackling Occlusion in Siamese Tracking with Structured Dropouts

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

An Analysis of Object Representations in Deep Visual Trackers

Siamese Tracking with Lingual Object Constraints


Deep learning-based outlier/anomaly detection

Deep Semi-Supervised Anomaly Detection

Deep Anomaly Detection with Deviation Networks

Classification-Based Anomaly Detection for General Data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

IEEE transactions on neural networks and learning systems

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Deep Weakly-supervised Anomaly Detection

Unsupervised Representation Learning by Predicting Random Distances


Train a deep learning net with OpenStreetMap features and satellite imagery.

Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

Semantic Labeling of Large-Area Geographic Regions Using Multiview and Multidate Satellite Images and Noisy OSM Training Labels

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


Open-source software for intracranial electrode localization and visualization

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Imagined speech can be decoded from low- and cross-frequency intracranial EEG features

Augmenting hippocampal–prefrontal neuronal synchrony during sleep enhances memory consolidation in humans

Prestimulus amygdala spectral activity is associated with visual face awareness


Load fMRIprep confounds in python

Methods to detect, characterize, and remove motion artifact in resting state fMRI

fMRIPrep: a robust preprocessing pipeline for functional MRI

ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

Evaluation of denoising strategies for task‐based functional connectivity: Equalizing residual motion artifacts between rest and cognitively demanding tasks

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

Improved motion correction for functional MRI using an omnibus regression model


FUND - Climate Framework for Uncertainty, Negotiation and Distribution

Economic Impact of Energy Consumption Change Caused by Global Warming

Social Cost of Carbon: What Do the Numbers Really Mean?


Normalization for single cell RNA-seq data

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds

Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


Massively parallel tensor network solver

Tensor-network study of correlation-spreading dynamics in the two-dimensional Bose-Hubbard model

TeNeS: Tensor network solver for quantum lattice systems

Dynamics of correlation spreading in low-dimensional transverse-field Ising models

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations


offline/online spike sorting. Un logiciel de gauche qui ne fait pas d'amalgame entre la classe et la coquetterie.

SpikeInterface, a unified framework for spike sorting

SpikeForest: reproducible web-facing ground-truth validation of automated neural spike sorters

Compatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic
  Models


TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

Adversarial Examples for Models of Code

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

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

A Literature Study of Embeddings on Source Code

Testing Neural Program Analyzers

A Source Code Similarity Based on Siamese Neural Network

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches

On using distributed representations of source code for the detection of C security vulnerabilities.

Using Distributed Representation of Code for Bug Detection.

Negative Results of Fusing Code and Documentation for Learning to
  Accurately Identify Sensitive Source and Sink Methods An Application to the
  Android Framework for Data Leak Detection


COVID-19 related virus data, environmental data and policy data

Taking the pulse of COVID-19: a spatiotemporal perspective

The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective

International journal of environmental research and public health

Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Phased Implementation of COVID-19 Vaccination: Rapid Assessment of Policy Adoption, Reach and Effectiveness to Protect the Most Vulnerable in the US

A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research

International Conference on Data Technologies and Applications


PHAST

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

Leveraging base-pair mammalian constraint to understand genetic variation and human disease.


Geometric operations on polytopes of any dimension

Learning Strategy-Aware Linear Classifiers

Multi-Agent Safety Verification using Symmetry Transformations

Grinding the Space: Learning to Classify Against Strategic Agents


OpenVR SDK

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks

HTC Vive MeVisLab integration via OpenVR for medical applications

Controller-based Text-input Techniques for Virtual Reality: An Empirical Comparison

The international journal of virtual reality/The International journal of virtual reality

TanGi: Tangible Proxies for Embodied Object Exploration and Manipulation
  in Virtual Reality

Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays

Rhoban Football Club: RoboCup Humanoid KidSize 2019 Champion Team Paper

Men Scare Me More: Gender Differences in Social Fear Conditioning in Virtual Reality

Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR

Where Are You Looking?

Proceedings of the 30th ACM International Conference on Multimedia

Characterization and modification of castor oil extracted from the newly malaysian produced castor beans

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


A tool for profiling long STRs from short reads

Profiling the genome-wide landscape of tandem repeat expansions

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

A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice

Insights from a genome-wide truth set of tandem repeat variation


A Java library for Paillier partially homomorphic encryption.

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

Homomorphic-Encrypted Volume Rendering

IEEE transactions on visualization and computer graphics