[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

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

The Capacity and Robustness Trade-off: Revisiting the Channel
  Independent Strategy for Multivariate Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series
  Forecasting

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced
  Transformer

Exploring the Advantages of Transformers for High-Frequency Trading

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting


[ICLR 2024] Official implementation of "  Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Transformers in Time Series: A Survey

Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook


SwinIR: Image Restoration Using Swin Transformer (official repository)

DifFace: Blind Face Restoration with Diffused Error Contraction

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World
  Super-Resolution Models

Whole-body PET image denoising for reduced acquisition time

CMISR: Circular Medical Image Super-Resolution


The Munich Open-Source Large-Scale Multimedia Feature Extractor

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional
  Reactions, and Stress

The voice of COVID-19: Acoustic correlates of infection

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

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

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations

A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and
  First Results

A voice-based biomarker for monitoring symptom resolution in adults with COVID-19: Findings from the prospective Predi-COVID cohort study


PyTorch 3D video classification models pre-trained on 65 million Instagram videos

The Kinetics Human Action Video Dataset

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Large-scale weakly-supervised pre-training for video action recognition

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Medical Image Computing and Computer-Assisted Intervention

Improving Action Quality Assessment Using Weighted Aggregation

Improving Action Quality Assessment using ResNets and Weighted Aggregation.


Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark dataset for visual domain adaptation.

Domain-Adversarial Training of Neural Networks

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Multi-Adversarial Domain Adaptation

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation


The University of New Hampshire Water Balance Model

Distinguishing Direct Human‐Driven Effects on the Global Terrestrial Water Cycle

WBM: A scalable gridded global hydrologic model with water tracking functionality

Delineation of endorheic drainage basins in the MERIT-Plus dataset for 5 and 15 minute upscaled river networks


Analysis and Visualization of Ribosome Profiling Data

A tRNA modification balances carbon and nitrogen metabolism by regulating phosphate homeostasis

riboviz: analysis and visualization of ribosome profiling datasets

The LIN28B–IMP1 post-transcriptional regulon has opposing effects on oncogenic signaling in the intestine

Ribosomal stalk proteins RPLP1 and RPLP2 promote biogenesis of flaviviral and cellular multi-pass transmembrane proteins


GENome Organisation Visual Analytics

WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

Hi-C analyses with GENOVA: a case study with cohesin variants

A Mediator-cohesin axis controls heterochromatin domain formation

Distinct roles for CKM–Mediator in controlling Polycomb-dependent chromosomal interactions and priming genes for induction


Ultra-faint galaxy likelihood toolkit

Stellar Streams Discovered in the Dark Energy Survey

Trans-Neptunian Objects Found in the First Four Years of the Dark Energy Survey

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

AN ULTRA-FAINT GALAXY CANDIDATE DISCOVERED IN EARLY DATA FROM THE MAGELLANIC SATELLITES SURVEY

Proper motions of Milky Way Ultra-Faint satellites with Gaia DR2 × DES DR1

The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream

Two Ultra-faint Milky Way Stellar Systems Discovered in Early Data from the DECam Local Volume Exploration Survey

Discovery of an Ultra-Faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration (DELVE) Survey

Eridanus IV: an Ultra-faint Dwarf Galaxy Candidate Discovered in the DECam Local Volume Exploration Survey

A Faint Halo Star Cluster Discovered in the Blanco Imaging of the Southern Sky Survey

Pegasus IV: Discovery and Spectroscopic Confirmation of an Ultra-faint Dwarf Galaxy in the Constellation Pegasus


Turbospectrum v20 with NLTE capability

Combined analysis of stellar and planetary absorption lines via global forward-transit simulations

Observational constraints on the origin of the elements. VII. NLTE
  analysis of Y II lines in spectra of cool stars and implications for Y as a
  Galactic chemical clock


Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi

Task Adaptive Pretraining of Transformers for Hostility Detection

PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings

Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages


GLIGEN: Open-Set Grounded Text-to-Image Generation

Directed Diffusion: Direct Control of Object Placement through Attention
  Guidance

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and
  Latent Diffusion

LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation,
  Generation and Editing


News Article Corpus from Prachathai.com

WangchanBERTa: Pretraining transformer-based Thai Language Models

Thai Nested Named Entity Recognition Corpus

Findings of the Association for Computational Linguistics: ACL 2022

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models


PyDictionary is a Dictionary Module for Python 2/3 to get meanings, translations, synonyms and antonyms of words

Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection

A Metamorphic Testing Approach for Assessing Question Answering Systems

SimpLex: a lexical text simplification architecture


A solution that helps apply a privacy preserving mechanism to NLP data, using Amazon SageMaker.

Membership Inference Attacks against Machine Learning Models

Auditing Data Provenance in Text-Generation Models

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations


A collection of open source DICE and DICE-like models


FlexiGIS: Open source GIS-based platform for the optimisation of flexibility options in urban areas


Implementation of Flexible Conditional Density Estimator

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of computational and graphical statistics

A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty


Neuroimgaing data processing pipelines used in the lab

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

A functional connectome phenotyping dataset including cognitive state and personality measures

Gradients of connectivity distance are anchored in primary cortex

The age-dependent relationship between resting heart rate variability and functional brain connectivity


LipidFinder: A computational workflow for discovery of new lipid molecular species

LipidFinder on LIPID MAPS: peak filtering, MS searching and statistical analysis for lipidomics

LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets

LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications


Bioinformatic pipeline for identifying dsDNA breaks by marker based incorporation, such as breaks induced by designer nucleases like Cas9.

Genome-wide detection of CRISPR editing in vivo using GUIDE-tag

A more efficient CRISPR-Cas12a variant derived from Lachnospiraceae bacterium MA2020

LPA disruption with AAV-CRISPR potently lowers plasma apo(a) in transgenic mouse model: A proof-of-concept study

Molecular therapy. Methods & clinical development

Additional file 4: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity


Annotated Genome Optimization Using Transcriptome Information

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

AGOUTI: improving genome assembly and annotation using transcriptome data

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Three new genome assemblies of blue mussel lineages: North and South European Mytilus edulis and Mediterranean Mytilus galloprovincialis


LSST Simulations repository for baseline evaluation information

The Absolute Magnitude of the Sun in Several Filters

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

The updated BaSTI stellar evolution models and isochrones: II. alpha-enhanced calculations

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

Zenodo (CERN European Organization for Nuclear Research)

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

Monthly notices of the Royal Astronomical Society

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

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

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

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

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


LinkedSV for detection of mosaic structural variants from linked-read exome and genome sequencing data

Genome sequencing in cytogenetics: Comparison of short‐read and linked‐read approaches for germline structural variant detection and characterization

Most large structural variants in cancer genomes can be detected without long reads


Julia package for finding the spectral measure of structured self adjoint operators

The foundations of spectral computations via the Solvability Complexity Index hierarchy

On the Computation of Geometric Features of Spectra of Linear Operators on Hilbert Spaces

Computing Spectral Measures and Spectral Types

On the infinite-dimensional QR algorithm


Hierarchical matrices tool box

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem

Radiative Transfer For Variable 3D Atmospheres

Reflective Conditions for Radiative Transfer in Integral Form with H-Matrices


Point Spread Function reconstruction

Opening the era of quasar host studies at high redshift with JWST

Detecting Low-Mass Perturbers in Cluster Lenses using Curved Arc Bases


[NeurIPS 2022]  Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images


Out-of-distribution detection using the pNML regret. NeurIPS2021

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Detecting Out-of-Distribution Examples with In-distribution Examples and
  Gram Matrices

Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection


RepeatProfiler: a pipeline for visualization and comparative analysis of repetitive DNA profiles

A Long-Term Conserved Satellite DNA That Remains Unexpanded in Several Genomes of Characiformes Fish Is Actively Transcribed

Genomic and Transcriptomic Survey Provides New Insight into the Organization and Transposition Activity of Highly Expressed LTR Retrotransposons of Sunflower (Helianthus annuus L.)

International journal of molecular sciences

Comparative Analysis of Transposable Elements in Genus Calliptamus Grasshoppers Revealed That Satellite DNA Contributes to Genome Size Variation

Satellitome Analysis and Transposable Elements Comparison in Geographically Distant Populations of Spodoptera frugiperda


Julia implementation of EXPOKIT routines

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

Multi-Neutrino Entanglement and Correlations in Dense Neutrino Systems

QSWalk.jl: Julia package for quantum stochastic walks analysis

Quantum simulations of SO(5) many-fermion systems using qudits


OpenFLUID framework and applications


VM2D: Open-Source Code for 2D Flow Simulation by Using Meshless Lagrangian Vortex Methods

Open Source Code for 2D Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods

2017 Ivannikov ISPRAS Open Conference (ISPRAS)

On the Scope of Lagrangian Vortex Methods for Two-Dimensional Flow Simulations and the POD Technique Application for Data Storing and Analyzing

Flow simulation around circular cylinder at low Reynolds numbers using vortex particle method

The VM2D Open Source Code for Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods on CPU and GPU

2019 Ivannikov Memorial Workshop (IVMEM)


Conversion of coarsegrain to atomistic (complete rewrite of the original CG2AT)

Structure, mechanism, and inhibition of Hedgehog acyltransferase

Specific interactions of peripheral membrane proteins with lipids: what can molecular simulations show us?

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

Cryo-EM Structures of CusA Reveal a Mechanism of Metal-Ion Export


DeeP-LCC for mixed traffic

DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow

Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic

Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed Traffic


API Client for CHIRPS

Retrieving and processing agro-meteorological data from API-client sources using R software


An open source toolkit for multimodal generative conversational task assistants, helping assist people with real-world complex tasks

VILT: Video Instructions Linking for Complex Tasks

Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval

GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants

GRILLBot: A multi-modal conversational agent for complex real-world tasks


Computational Analysis of Novel Drug Opportunities

cando.py: Open source software for analyzing large scale drug-protein-disease data

Multiscale Virtual Screening Optimization for Shotgun Drug Repurposing Using the CANDO Platform

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease


Pytorch implementation of convolutional neural network visualization techniques

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

Use of a Capsule Network to Detect Fake Images and Videos

Intriguing Findings of Frequency Selection for Image Deblurring

Self-Supervised Learning Disentangled Group Representation as Feature

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

A Double Siamese Framework for Differential Morphing Attack Detection

Exploring the potential of transfer learning for metamodels of heterogeneous material deformation

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models

Semiotic Aggregation in Deep Learning


SIGMORPHON 2020 Shared Task: Grapheme-to-Phoneme, Unsupervised Induction of Morphology, and Typologically Diverse Morphological Inflection

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion

Special Interest Group on Computational Morphology and Phonology Workshop

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies

International Joint Conference on Natural Language Processing

Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model

Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion

Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems


AMPtk: Amplicon ToolKit for NGS data (formally UFITS)

Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data

Antarctic Cryptoendolithic Fungal Communities Are Highly Adapted and Dominated by Lecanoromycetes and Dothideomycetes

Microbes and associated soluble and volatile chemicals on periodically wet household surfaces

A single test approach for accurate and sensitive detection and taxonomic characterization of Trypanosomes by comprehensive analysis of internal transcribed spacer 1 amplicons

Endolithic Fungal Species Markers for Harshest Conditions in the McMurdo Dry Valleys, Antarctica

Uncovered Microbial Diversity in Antarctic Cryptoendolithic Communities Sampling Three Representative Locations of the Victoria Land

Amplicon-Based Sequencing of Soil Fungi from Wood Preservative Test Sites

Culture-Dependent and Amplicon Sequencing Approaches Reveal Diversity and Distribution of Black Fungi in Antarctic Cryptoendolithic Communities

Amplicon Sequencing of Rock-Inhabiting Microbial Communities from Joshua Tree National Park, USA

Snow Surface Microbial Diversity at the Detection Limit within the Vicinity of the Concordia Station, Antarctica


allRank is a framework for training learning-to-rank neural models based on PyTorch.

VD-BERT: A Unified Vision and Dialog Transformer with BERT

NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting.

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

Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention


RNASeq pipeline

Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants

Local light signaling at the leaf tip drives remote differential petiole growth through auxin-gibberellin dynamics

XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data

A System-wide Approach to Monitor Responses to Synergistic BRAF and EGFR Inhibition in Colorectal Cancer Cells

Locational memory of macrovessel vascular cells is transcriptionally imprinted

Whole transcriptome analysis of canine pheochromocytoma and paraganglioma


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

Dynamic Graph CNN for Learning on Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Jet tagging via particle clouds

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

PointGuard: Provably Robust 3D Point Cloud Classification

Binary Graph Neural Networks

UV-Net: Learning from Boundary Representations

Occlusion Resistant Object Rotation Regression from Point Cloud Segments


Detection of filamentary structure in molecular clouds

Filament Identification through Mathematical Morphology

Filamentary Accretion Flows in the Infrared Dark Cloud G14.225–0.506 Revealed by ALMA

Dense gas kinematics and a narrow filament in the Orion A OMC1 region using NH_3

ALMA Observations of NGC 6334S. II. Subsonic and Transonic Narrow Filaments in a High-mass Star Formation Cloud

The straight and isolated G350.54+0.69 filament: density profile and star formation content

The Role of Filamentary Structures in the Formation of Two Dense Cores, L1544 and L694-2

A Search for Cloud Cores Affected by Shocked Carbon Chain Chemistry in L1251

Sequential star formation in the filamentary structures of the Planck Galactic cold clump G181.84+0.31

ALMA Uncovers Highly Filamentary Structure toward the Sgr E Region

Investigating a Global Collapsing Hub-Filament Cloud G326.611+0.811


Segmental Duplication Assembler (SDA).

HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads

Long-read sequence and assembly of segmental duplications

De novo assembly of human genome at single-cell levels


DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery


A modular framework for Visual Question Answering research by the FAIR A-STAR team

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

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

VisualMRC: Machine Reading Comprehension on Document Images


Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions


:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

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

Esophageal optical coherence tomography image synthesis using an adversarially learned variational autoencoder

Generative Adversarial Networks for Robust Cryo-EM Image Denoising


A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)

SIGCOMM '21: PROCEEDINGS OF THE 2021 ACM SIGCOMM 2021 CONFERENCE

Revisiting Cellular Throughput Prediction over the Edge: Collaborative
  Multi-device, Multi-network in-situ Learning


Pseudo Likelihood Maximization for protein in Julia

Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences

Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models

Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis

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

Inferring protein-protein interaction networks from inter-protein sequence co-evolution

Parsimonious evolutionary scenario for the origin of allostery and coevolution patterns in proteins

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS

Impact of phylogeny on structural contact inference from protein sequence data


A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility

ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci

基因组蛋白质组与生物信息学报

Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

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

Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Roostock, Tron and other EVM-compatible blockchains.

Scilla: a Smart Contract Intermediate-Level LAnguage

Exploiting The Laws of Order in Smart Contracts

Lolisa: Formal Syntax and Semantics for a Subset of the Solidity Programming Language in Mathematical Tool Coq

FEther: An Extensible Definitional Interpreter for Smart-Contract Verifications in Coq

SAFEVM: A Safety Verifier for Ethereum Smart Contracts

A Revisit on Blockchain-based Smart Contract Technology


A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.

Water Sites, Networks, And Free Energies with Grand Canonical Monte Carlo

Journal of the American Chemical Society

Replica-Exchange and Standard State Binding Free Energies with Grand Canonical Monte Carlo

Journal of chemical theory and computation

grand: A Python Module for Grand Canonical Water Sampling in OpenMM

Journal of chemical information and modeling

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques


Quantification of transposable element expression using RNA-seq

Telescope: Characterization of the retrotranscriptome by accurate estimation of transposable element expression

Locus-specific expression analysis of transposable elements

Implications of Antigen Selection on T Cell-Based Immunotherapy

Schizophrenia risk from locus-specific human endogenous retroviruses


A Monte Carlo ray tracer for the optical simulation of solar concentrating systems


The Common Evaluation Platform (CEP), based on UCB's Chipyard Framework,  is an SoC design that contains only license-unencumbered, freely available components.

ASSURE: RTL Locking Against an Untrusted Foundry

IEEE transactions on very large scale integration (VLSI) systems

A Modern Approach to IP Protection and Trojan Prevention: Split Manufacturing for 3D ICs and Obfuscation of Vertical Interconnects

IEEE transactions on emerging topics in computing

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated
  Circuit Synthesis

A practical application of game theory to optimize selection of hardware Trojan detection strategies

Journal of hardware and systems security

ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning

DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and
  Policy-based Protection

T-TER: Defeating A2 Trojans with Targeted Tamper-Evident Routing

An Extensible Framework for Quantifying the Coverage of Defenses Against Untrusted Foundries

A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists

Automatic Conversion from Flip-flop to 3-phase Latch-based Designs


Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

FACMAC: Factored Multi-Agent Centralised Policy Gradients

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

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

Attacking c-MARL More Effectively: A Data Driven Approach

Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning

Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning


An open source biological wastewater treatment simulation software...


LSTM language model with CNN over characters

Character-Aware Neural Language Models

Training Very Deep Networks

Neural Summarization by Extracting Sentences and Words

Compositional Morphology for Word Representations and Language Modelling

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages

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


Science Parse parses scientific papers (in PDF form) and returns them in structured form.

CORD-19: The COVID-19 Open Research Dataset

Construction of the Literature Graph in Semantic Scholar

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Lyra: A Benchmark for Turducken-Style Code Generation

Can We Automate Scientific Reviewing?

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions

Meeting of the Association for Computational Linguistics

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks

A Summarization System for Scientific Documents

How many preprints have actually been printed and why: a case study of computer science preprints on arXiv


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

ULYSSES: Universal LeptogeneSiS Equation Solver

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

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

Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

kern

Shakespeare and National Identity : A Dictionary

Water in the terrestrial planet-forming zone of the PDS 70 disk

Bayesian comparison of interacting modified holographic Ricci dark energy scenarios

An Updated Mass–Radius Analysis of the 2017–2018 NICER Data Set of PSR J0030+0451

Zenodo (CERN European Organization for Nuclear Research)


A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

Importance Nested Sampling and the MultiNest Algorithm

Retrieving scattering clouds and disequilibrium chemistry in the atmosphere of HR 8799e

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

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

Robust sampling for weak lensing and clustering analyses with the Dark
  Energy Survey

Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and N-body simulations

Self-calibration and robust propagation of photometric redshift distribution uncertainties in weak gravitational lensing

Geminga SNR: Possible Candidate of the Local Cosmic-Ray Factory

戸籍 : 戸籍・住民基本台帳実務家の機関誌

Weighing cosmic structures with clusters of galaxies and the intergalactic medium

Monthly Notices of the Royal Astronomical Society


Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

Uplift Modeling with Multiple Treatments and General Response Types

A comparison of methods for model selection when estimating individual treatment effects

A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation


A Proof Strategy Language and Proof Script Generation for Isabelle/HOL

PaMpeR: Proof Method Recommendation System for Isabelle/HOL

Goal-Oriented Conjecturing for Isabelle/HOL

LiFtEr: Language to Encode Induction Heuristics for Isabelle/HOL

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2019

Faster Smarter Proof by Induction in Isabelle/HOL

International Joint Conference on Artificial Intelligence

SeLFiE: Modular Semantic Reasoning for Induction in Isabelle/HOL.

Definitional Quantifiers Realise Semantic Reasoning for Proof by Induction

Smart Induction for Isabelle/HOL (System Description)


The enriched version of the WebNLG described at INLG 2018

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Enriching the WebNLG corpus

International Conference on Natural Language Generation

Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems

Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities

International Conference on Computational Linguistics


Exploring techniques for estimating safety of machine learning classifiers

AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation

SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures

Keep your Distance: Determining Sampling and Distance Thresholds in
  Machine Learning Monitoring


Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.


GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Autoencoding Under Normalization Constraints

Proxy-bridged Image Reconstruction Network for Anomaly Detection in
  Medical Images

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets


Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

Arabic Text Diacritization Using Deep Neural Networks

Multi-components System for Automatic Arabic Diacritization

Automatic Methods and Neural Networks in Arabic Texts Diacritization: A Comprehensive Survey


The Places365-CNNs for Scene Classification

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Building instance classification using street view images

Isprs Journal of Photogrammetry and Remote Sensing

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

Benchmarking unsupervised near-duplicate image detection

Transformation Consistency Regularization- A Semi-Supervised Paradigm
  for Image-to-Image Translation

Large Scale Organization and Inference of an Imagery Dataset for Public Safety

IEEE High Performance Extreme Computing Conference

An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild

Towards Making Deep Transfer Learning Never Hurt

Exploiting Vulnerabilities of Deep Neural Networks for Privacy Protection

Removing input features via a generative model to explain their attributions to classifier's decisions


:sunny: Open-source view-factor model for diffuse shading and bifacial PV modeling. Documentation:


A public resource for microbiome bioinformatics benchmarking using artificially constructed (i.e., mock) communities.

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

mockrobiota: a public resource for microbiome bioinformatics benchmarking

Evaluation of Primers Targeting the Diazotroph Functional Gene and Development of NifMAP - A Bioinformatics Pipeline for Analyzing nifH Amplicon Data

ReprDB and panDB: minimalist databases with maximal microbial representation

LEMMI: a continuous benchmarking platform for metagenomics classifiers


Voice Conversion Tool Kit

The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

Preech: A System for Privacy-Preserving Speech Transcription

Many-to-Many Voice Transformer Network

Voice Conversion with Conditional SampleRNN

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

When Automatic Voice Disguise Meets Automatic Speaker Verification

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion.

Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion


Python package and CLI for whole-genome duplication related analyses. This package is deprecated in favor of https://github.com/heche-psb/wgd.

wgd—simple command line tools for the analysis of ancient whole-genome duplications

Whole Genome Sequencing of the Pirarucu (Arapaima gigas) Supports Independent Emergence of Major Teleost Clades

Building a Reference Transcriptome for the Hexaploid Hard Fescue Turfgrass (Festuca brevipila) Using a Combination of PacBio Isoseq and Illumina Sequencing

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

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

Genome-Wide Comparison and Functional Characterization of HMGR Gene Family Associated with Shikonin Biosynthesis in Lithospermum erythrorhizon

International journal of molecular sciences

Gapless Genome Assembly of Puccinia triticina Provides Insights into Chromosome Evolution in Pucciniales


Tensorflow implementation of contextualized word representations from bi-directional language models

Deep contextualized word representations

Dissecting Contextual Word Embeddings: Architecture and Representation

Linguistically-Informed Self-Attention for Semantic Role Labeling

nocaps: novel object captioning at scale

International Conference on Computer Vision

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

Evaluation of sentence embeddings in downstream and linguistic probing
  tasks

Probing Biomedical Embeddings from Language Models

UER: An Open-Source Toolkit for Pre-training Models

Polyglot Contextual Representations Improve Crosslingual Transfer

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings


Scallop is a reference-based transcriptome assembler for RNA-seq

Accurate assembly of transcripts through phase-preserving graph decomposition

Mathematische und numerische Werkzeuge

Scallop enables accurate assembly of transcripts through phasing-preserving graph decomposition

Performance evaluation of lossy quality compression algorithms for RNA-seq data


Deep relational learning through differentiable logic programming.

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Lifted Relational Neural Networks

Beyond Graph Neural Networks with Lifted Relational Neural Networks

Learning Predictive Categories Using Lifted Relational Neural Networks

Lossless Compression of Structured Convolutional Models via Lifting

Stacked Structure Learning for Lifted Relational Neural Networks

Learning with Molecules beyond Graph Neural Networks


A toolbox for skeleton-based action recognition.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Revisiting Skeleton-based Action Recognition

PYSKL: Towards Good Practices for Skeleton Action Recognition

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action
  Recognition

Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features


Explainable AI in Julia.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Important Features Through Propagating Activation Differences

Learning how to explain neural networks: PatternNet and PatternAttribution


A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.

VinDr-CXR: An open dataset of chest X-rays with radiologist's
  annotations

VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children

Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling

Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks


Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.

Applications of contact predictions to structural biology

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS

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


A Python 3 gradient-free optimization library

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

Genetic and Evolutionary Computation Conference

A case learning-based differential evolution algorithm for global optimization of interplanetary trajectory design

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization

Fast Moving Natural Evolution Strategy for High-Dimensional Problems


SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

Deep Learning on Mobile Devices - A Review

Accelerator-Aware Pruning for Convolutional Neural Networks

IEEE transactions on circuits and systems for video technology

Zero-Shot Deep Domain Adaptation

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

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

Teaching Autonomous Driving Using a Modular and Integrated Approach


This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning


Neural Coref Models

Learning Global Features for Coreference Resolution

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

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

Resolving Gendered Ambiguous Pronouns with BERT

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics


Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Tsetlin Machine Embedding: Representing Words Using Logical Expressions


Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

Datasets for Large Language Models: A Comprehensive Survey


Deep Speaker: an End-to-End Neural Speaker Embedding System.

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion
  Recognition

Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features


simple neural network library in ANSI C

Certified and efficient instruction scheduling: application to interlocked VLIW processors

Proceedings of the ACM on programming languages

WaTZ: A Trusted WebAssembly Runtime Environment with Remote Attestation for TrustZone

Simple, Light, Yet Formally Verified, Global Common Subexpression Elimination and Loop-Invariant Code Motion

Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments

Precise Onboard Aircraft Cabin Localization using UWB and ML


ENCODE Uniform processing pipeline for ChIP-seq

An atlas of dynamic chromatin landscapes in mouse fetal development

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

Highly structured homolog pairing reflects functional organization of the Drosophila genome

The genome-wide multi-layered architecture of chromosome pairing in early Drosophila embryos

Systematic mapping of chromatin state landscapes during mouse development

Foxc1 establishes enhancer accessibility for craniofacial cartilage differentiation

Condensin II inactivation in interphase does not affect chromatin folding or gene expression

Glucocorticoid receptor collaborates with pioneer factors and AP-1 to execute genome-wide regulation

Characterizing and Targeting Genes Regulated by Transcription Factor MYBL2 in Lung Adenocarcinoma Cells


An alternative splicing program promotes adipose tissue thermogenesis

Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

Identification of FUBP1 as a Long Tail Cancer Driver and Widespread Regulator of Tumor Suppressor and Oncogene Alternative Splicing

SAM68 promotes tumorigenesis in lung adenocarcinoma by regulating metabolic conversion via PKM alternative splicing

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Temporal regulation of alternative splicing events in rice memory under drought stress

Detection and targeting of splicing deregulation in pediatric acute myeloid leukemia stem cells

Adaptation of the Porcine Pituitary Transcriptome, Spliceosome and Editome during Early Pregnancy

Differential alternative splicing genes and isoform co-expression networks of Brassica napus under multiple abiotic stresses


A Python Package for Density Ratio Estimation

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift

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


Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces

YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for
  Hyperparameter Optimization

AMLB: an AutoML Benchmark

PFNs4BO: In-Context Learning for Bayesian Optimization

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box
  Optimization Algorithms

Large Language Models to Enhance Bayesian Optimization

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables


JDeodorant

Code smells and refactoring: A tertiary systematic review of challenges and observations

Journal of systems and software/The Journal of systems and software

Automatizing Software Cognitive Complexity Reduction

Refactoring Assertion Roulette and Duplicate Assert test smells: a
  controlled experiment

On the Use of Static Analysis to Engage Students with Software Quality
  Improvement: An Experience with PMD


Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

Unified Perceptual Parsing for Scene Understanding

Acquisition of Localization Confidence for Accurate Object Detection

Concept Embedding Analysis: A Review


Instruction Tuning with GPT-4

A General Language Assistant as a Laboratory for Alignment

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large
  Foundation Models

On the Exploitability of Instruction Tuning

TrustLLM: Trustworthiness in Large Language Models

DISC-MedLLM: Bridging General Large Language Models and Real-World
  Medical Consultation

MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence
  Generation


[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

A Survey of Machine Unlearning

Availability Attacks Create Shortcuts

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

Indiscriminate Poisoning Attacks Are Shortcuts.

Fooling Adversarial Training with Inducing Noise

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable
  Example Attacks


Creative Commons Attribution 4.0 International

A collection of task-specific NLU datasets

Efficient Intent Detection with Dual Sentence Encoders

Benchmarking Natural Language Understanding Services for building Conversational Agents

Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations

Intent Mining from past conversations for conversational agent

NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue

Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

Unsupervised Layer-wise Score Aggregation for Textual OOD Detection

Stable LM 2 1.6B Technical Report

Split-and-Denoise: Protect large language model inference with local
  differential privacy


A volumetric object-level semantic mapping framework.

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

International Conference on Robotics and Automation

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM


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

Simple Recurrent Units for Highly Parallelizable Recurrence

Pathologies of Neural Models Make Interpretations Difficult

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Meeting of the Association for Computational Linguistics

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

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

Towards Inference-Oriented Reading Comprehension: ParallelQA

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

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering


Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks

DaCy: A Unified Framework for Danish NLP

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets

De-Identification of French Unstructured Clinical Notes for Machine
  Learning Tasks

NERDA-Con: Extending NER models for Continual Learning -- Integrating
  Distinct Tasks and Updating Distribution Shifts

Two Neural Models for Multilingual Grammatical Error Detection

Linköping electronic conference proceedings


Reinforcement Learning with Deep Energy-Based Policies

Composable Deep Reinforcement Learning for Robotic Manipulation

Policy Optimization as Wasserstein Gradient Flows

A Max-Min Entropy Framework for Reinforcement Learning

Diverse Policy Optimization for Structured Action Space


Population-scale genotyping using pangenome graphs

Graphtyper enables population-scale genotyping using pangenome graphs

GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs

Multiomics study of nonalcoholic fatty liver disease

Rare SLC13A1 variants associate with intervertebral disc disorder highlighting role of sulfate in disc pathology

Thirty novel sequence variants impacting human intracranial volume


Cubic spline approximation (smoothing)

Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2

bletl ‐ A Python package for integrating BioLector microcultivation devices in the Design‐Build‐Test‐Learn cycle

bletl - A Python Package for Integrating Microbioreactors in the Design-Build-Test-Learn Cycle

Smoothing splines for discontinuous signals


Hyper optimized contraction trees for large tensor networks and einsums

TensorCircuit: a Quantum Software Framework for the NISQ Era

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

HybridQ: A Hybrid Simulator for Quantum Circuits

Tensor Network Circuit Simulation at Exascale

Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not

IEEE transactions on computer-aided design of integrated circuits and systems


python library for invisible image watermark (blind image watermark)

Robust Invisible Video Watermarking with Attention

The Stable Signature: Rooting Watermarks in Latent Diffusion Models


TRI-ML Monocular Depth Estimation Repository

3D Packing for Self-Supervised Monocular Depth Estimation

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

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

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion

Monocular Depth Estimation for Soft Visuotactile Sensors


An open-source PyTorch code for crowd counting

Pixel-Wise Crowd Understanding via Synthetic Data

C^3 Framework: An Open-source PyTorch Code for Crowd Counting

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Learning to Rank for Active Learning: A Listwise Approach


kmeans using PyTorch

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural
  Networks

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language
  Model to Pre-trained Machine Reader

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels


DexiNed: Dense EXtreme Inception Network for Edge Detection

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

A Brief Analysis of the Dense Extreme Inception Network for Edge Detection

Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline


Variational Autoencoder for Dimensionality Reduction of Time-Series

Variational encoding of complex dynamics

Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders

Collective variable discovery in the age of machine learning: reality, hype and everything in between


A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

ST-MoE: Designing Stable and Transferable Sparse Expert Models

UniMax: Fairer and more Effective Language Sampling for Large-Scale
  Multilingual Pretraining

DeepSeekMoE: Towards Ultimate Expert Specialization in
  Mixture-of-Experts Language Models

Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

MoE-Mamba: Efficient Selective State Space Models with Mixture of
  Experts

Data Engineering for Scaling Language Models to 128K Context


Guide to using pre-trained large language models of source code

A Systematic Evaluation of Large Language Models of Code

Neural Machine Translation for Code Generation

A Survey on Large Language Models for Software Engineering


PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source
  Reconstruction and Target Simulation


A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

Diffusion Models Beat GANs on Image Synthesis

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Diffusion-based Image Translation using Disentangled Style and Content
  Representation

Opal: Multimodal Image Generation for News Illustration

3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows


TableBank: A Benchmark Dataset for Table Detection and Recognition

TableBank: Table Benchmark for Image-based Table Detection and Recognition

Image-based table recognition: data, model, and evaluation

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

GFTE: Graph-based Financial Table Extraction

Deep learning for table detection and structure recognition: A survey

Business Document Information Extraction: Towards Practical Benchmarks


The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning


A general-purpose neural semantic parser for mapping natural language queries into machine executable code

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing

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

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation

A Globally Normalized Neural Model for Semantic Parsing


Quality control for MinION sequencing data

NanoPack: visualizing and processing long-read sequencing data

MinIONQC: fast and simple quality control for MinION sequencing data

Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing

A comprehensive toolkit to enable MinION sequencing in any laboratory

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

Clinical and molecular features of NDM-producing Acinetobacter baumannii in a multicenter study in Israel

Annals of clinical microbiology and antimicrobials

Nanopore sequencing data analysis using Microsoft Azure cloud computing service


Benchmarks for popular CNN models

SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability

Decoupled Parallel Backpropagation with Convergence Guarantee

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Biologically-plausible learning algorithms can scale to large datasets

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices

Beyond saliency: Understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation

FfDL : A Flexible Multi-tenant Deep Learning Platform

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval

Automated dataset generation for image recognition using the example of taxonomy


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

StyleGAN2 Distillation for Feed-forward Image Manipulation

Face Identity Disentanglement via Latent Space Mapping

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Time-Travel Rephotography

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

Tensor-based Subspace Factorization for StyleGAN


Open source library for Single Object Tracking in point clouds.

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking
  Loss

STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking


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

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Factorizing personalized Markov chains for next-basket recommendation

Time Interval Aware Self-Attention for Sequential Recommendation

Contrastive Learning for Sequential Recommendation

Controllable Multi-Interest Framework for Recommendation

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

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

Selective Fairness in Recommendation via Prompts

DiffuRec: A Diffusion Model for Sequential Recommendation

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

Neighborhood-based Hard Negative Mining for Sequential Recommendation

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


zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Binary grey wolf optimization approaches for feature selection

An improved Dragonfly Algorithm for feature selection

Binary Harris Hawks Optimizer for High-Dimensional, Low Sample Size Feature Selection

EVOLUTIONARY MACHINE LEARNING TECHNIQUES: ALGORITHMS AND APPLICATIONS

Feature selection through gravitational search algorithm

International Conference on Acoustics, Speech, and Signal Processing

Overview of Particle Swarm Optimisation for Feature Selection in Classification

Total organic carbon estimation in seagrass beds in Tauranga Harbour, New Zealand using multi-sensors imagery and grey wolf optimization


Top 1 solution of Chexpert

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

Technical Challenges for Training Fair Neural Networks


Nonlinear measures for dynamical systems (based on one-dimensional time series)

Android Malware Family Classification Based on Resource Consumption over
  Time

Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

AndroDFA: Android Malware Classification Based on Resource Consumption

Comprehensive HRV estimation pipeline in Python using Neurokit2: Application to sleep physiology

On Lyapunov exponents and adversarial perturbation


Rule-based token, sentence segmentation for Russian language

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

RuCoLA: Russian Corpus of Linguistic Acceptability

So What's the Plan? Mining Strategic Planning Documents


Multilingual Automatic Speech Recognition with word-level timestamps and confidence

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text
  Translation


Lattice methods in TensorFlow

Deontological Ethics By Monotonicity Shape Constraints

Feature Necessity & Relevancy in ML Classifier Explanations

Signal Combination for Language Identification

Interpretable Set Functions


Question answering dataset featured in "Teaching Machines to Read and Comprehend

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches

Gated-Attention Readers for Text Comprehension

Text Understanding with the Attention Sum Reader Network

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

Distraction-Based Neural Networks for Document Summarization

Iterative Alternating Neural Attention for Machine Reading

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and
  Benchmark Datasets

A Survey of Automatic Text Summarization: Progress, Process and Challenges

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries


Zero-Shot Refinement of Buildings' Segmentation Models using SAM

Trainable Noise Model as an XAI evaluation method: application on Sobol
  for remote sensing image segmentation


WorldMaker

Atmospheric Erosion by Giant Impacts onto Terrestrial Planets: A Scaling Law for any Speed, Angle, Mass, and Density

Swift: A modern highly-parallel gravity and smoothed particle
  hydrodynamics solver for astrophysical and cosmological applications

Immediate Origin of the Moon as a Post-impact Satellite

The effect of pre-impact spin on the Moon-forming collision

Monthly notices of the Royal Astronomical Society

A Recent Impact Origin of Saturn’s Rings and Mid-sized Moons


FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels

On Sparse Regression LDPC Codes


INNUENDO quality control of reads, de novo assembly and contigs quality assessment, and possible contamination search

Listeria monocytogenes Sequence Types 121 and 14 Repeatedly Isolated Within One Year of Sampling in a Rabbit Meat Processing Plant: Persistence and Ecophysiology

Screening of Bacteriocinogenic Lactic Acid Bacteria and Their Characterization as Potential Probiotics

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

Persistent contamination of raw milk by Campylobacter jejuni ST-883

Streptococcus canis Are a Single Population Infecting Multiple Animal Hosts Despite the Diversity of the Universally Present M-Like Protein SCM

Advanced Research Infrastructure for Experimentation in genomicS (ARIES): a lustrum of Galaxy experience

Longitudinal Study of Shiga Toxin-Producing Escherichia coli and Campylobacter jejuni on Finnish Dairy Farms and in Raw Milk

Evidence for the Dissemination to Humans of Methicillin-Resistant Staphylococcus aureus ST398 through the Pork Production Chain: A Study in a Portuguese Slaughterhouse

Identification of polysaccharide capsules among extensively drug-resistant genitourinary Haemophilus parainfluenzae isolates

Genome–scale approach to study the genetic relatedness among Brucella melitensis strains


Repository for NeurIPS 2020 Spotlight  "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Black Box Lie Group Preconditioners for SGD

A Control Theoretic Framework for Adaptive Gradient Optimizers in
  Machine Learning

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners


A high-throughput ontology-based pipeline for data integration

Integrating herbarium specimen observations into global phenology data systems

Transforming the study of organisms: Phenomic data models and knowledge bases

A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data

The Soil Food Web Ontology: Aligning trophic groups, processes, resources, and dietary traits to support food-web research


TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics

A dynamical systems treatment of transcriptomic trajectories in hematopoiesis

CellDestiny: A RShiny application for the visualization and analysis of single-cell lineage tracing data


SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

Recognizing Families In the Wild (RFIW): The 4th Edition

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

IEEE transactions on pattern analysis and machine intelligence

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

Automatic Face Understanding: Recognizing Families in Photos


RL-Toolkit: A Research Framework for Robotics

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity


A curated list of data mining papers about fraud detection.

Heterogeneous Graph Neural Networks for Malicious Account Detection

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network

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

Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration

ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising

International Conference on Information and Knowledge Management

Graphical Models for Identifying Fraud and Waste in Healthcare Claims

SIAM International Conference on Data Mining


Pyproffit is a Python code for the analysis of X-ray brightness profiles from clusters of galaxies

Low-scatter galaxy cluster mass proxies for the eROSITA all-sky survey

HSC-XXL: Baryon budget of the 136 XXL groups and clusters

Toward a characterization of X-ray galaxy clusters for cosmology

The Planck clusters in the LOFAR sky

The XXL Survey

HAL (Le Centre pour la Communication Scientifique Directe)

Setting the scene for BUFFALO: a study of the matter distribution in the HFF galaxy cluster MACS J0416.1-2403 and its parallel field

Monthly Notices of the Royal Astronomical Society

The complex intracluster medium of Abell 1569 and its interaction with central radio galaxies


mapping functions to support openair


Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia

Transcriptome wide association studies: general framework and methods


APT – Analysis of Petri nets and labelled transition systems

Analysis of Petri Nets and Transition Systems

AdamMC: A Model Checker for Petri Nets with Transits against Flow-LTL

A Web Interface for Petri Nets with Transits and Petri Games

Synthesis of Reduced Asymmetric Choice Petri Nets

A New Property of Choice-Free Petri Net Systems

Some Basic Techniques Allowing Petri Net Synthesis: Complexity and Algorithmic Issues

Maximal and minimal dynamic Petri net slicing


A pipeline to de novo assemble the stLFR reads using Supernova Assembler

Comparison of different sequencing strategies for assembling chromosome-level genomes of extremophiles with variable GC content

African Arowana Genome Provides Insights on Ancient Teleost Evolution

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


Identifying Historical People, Places and other Entities: Shared Task on Named Entity Recognition and Linking on Historical Newspapers at CLEF 2020.

Named Entity Recognition and Classification in Historical Documents: A Survey

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

Survey on English Entity Linking on Wikidata

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement


R-FCN with joint training and python support

CoupleNet: Coupling Global Structure with Local Parts for Object Detection

R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

IEEE transactions on geoscience and remote sensing

Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Cognitive Deep Machine Can Train Itself


Code for the paper:   Putting An End to End-to-End: Gradient-Isolated Learning of Representations

Representation Learning with Contrastive Predictive Coding

Local plasticity rules can learn deep representations using self-supervised contrastive predictions


Accompanying repo for the RLPrompt paper

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

Preference-grounded Token-level Guidance for Language Model Fine-tuning

Decoder Tuning: Efficient Language Understanding as Decoding

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker


MT3: Multi-Task Multitrack Music Transcription

Multi-instrument Music Synthesis with Spectrogram Diffusion

Multitrack Music Transcription with a Time-Frequency Perceiver

Jointist: Simultaneous Improvement of Multi-instrument Transcription and
  Music Source Separation via Joint Training


CodeGeeX2: A More Powerful Multilingual Code Generation Model

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual
  Evaluations on HumanEval-X

OctoPack: Instruction Tuning Code Large Language Models

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric
  Strategy for Diverse Generative Tasks


A matrix-product-operators solver for the dynamics of interacting qubits modeled by a Lindblad master equation, written in C++ and wrapped with an easy-to-use Python interface.

Nonlocal correlations in noisy multiqubit systems simulated using matrix product operators

Dissipative Dynamics of Graph-State Stabilizers with Superconducting
  Qubits

A solvable model for graph state decoherence dynamics


R  for flood forecasting via the National Water Model

A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping


Core data gathering, validation, processing, and reporting package for the Solar Forecast Arbiter


Benchmarks for SyGuS Competition (SyGuS-Comp)

Urban Cosmopolitan Chauvinism and the Politics of Rural Identity

Combining the top-down propagation and bottom-up enumeration for inductive program synthesis

Symposium on Principles of Programming Languages

SynGuar: guaranteeing generalization in programming by example

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Synthesising Programs with Non-trivial Constants


Earth Engine SSEBop ET Model

Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach

Journal of the American Water Resources Association

Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin

Satellite Psychrometric Formulation of the Operational Simplified SURFACE ENERGY BALANCE (SSEBOP) MODEL FOR QUANTIFYING AND MAPPING EVAPOTRANSPIRATION

Satellite-based water use dynamics using historical Landsat data (1984-2014) in the southwestern United States

Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration

Long-Term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration


biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

The Spectral Species Concept in Living Color

Zenodo (CERN European Organization for Nuclear Research)


Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery


De-trending of K2 Light curves

EVEREST: Pixel Level Decorrelation of K2 Light curves

The CARMENES search for exoplanets around M dwarfs: Two planets on opposite sides of the radius gap transiting the nearby M dwarf LTT 3780

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Detection and Doppler monitoring of K2-285 (EPIC 246471491), a system of four transiting planets smaller than Neptune

Three planets transiting the evolved star EPIC 249893012: a hot 8.8-M⊕ super-Earth and two warm 14.7 and 10.2-M⊕ sub-Neptunes

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c

TFAW survey - I. Wavelet-based denoising of K2 light curves. Discovery and validation of two new Earth-sized planets in K2 campaign 1


Libraries to analyze numerical simulations

The Quijote simulations

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure.

User’s guide to extracting cosmological information from line-intensity maps

Super-resolution emulator of cosmological simulations using deep physical models

Statistical Properties of Paired Fixed Fields

From Dark Matter to Galaxies with Convolutional Networks

On the impact of baryons on the halo mass function, bias, and cluster cosmology

Baryonic effects on the matter bispectrum

Anisotropic halo assembly bias and redshift-space distortions

Journal of Cosmology and Astroparticle Physics

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


Amplicon sequencing workflow heavily using DADA2 and implemented in snakemake

Soil Texture, Sampling Depth and Root Hairs Shape the Structure of ACC Deaminase Bacterial Community Composition in Maize Rhizosphere

Effects of Tree Composition and Soil Depth on Structure and Functionality of Belowground Microbial Communities in Temperate European Forests

Water Deficit History Selects Plant Beneficial Soil Bacteria Differently Under Conventional and Organic Farming


Semantics for COVID-19 Discovery

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology.

Collaborating in the Time of COVID-19: The Scope and Scale of Innovative Responses to a Global Pandemic

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases

Journal of the American Medical Informatics Association : JAMIA

A protocol for adding knowledge to Wikidata, a case report

Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation (Preprint)


Potential Field Source Surface model package for Python

Magnetic Connectivity of the Ecliptic Plane within 0.5 au: Potential Field Source Surface Modeling of the First Parker Solar Probe Encounter

Constraining Global Coronal Models with Multiple Independent Observables

Prediction and Verification of Parker Solar Probe Solar Wind Sources at
  13.3 R_⊙

Test Problems for Potential Field Source Surface Extrapolations of Solar
  and Stellar Magnetic Fields


A library for performing constrained optimization in TensorFlow

Fairness in Machine Learning: A Survey

Two-Player Games for Efficient Non-Convex Constrained Optimization

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

FairGrad: Fairness Aware Gradient Descent

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Optimizing Generalized Rate Metrics through Game Equilibrium

Consistent Multiclass Algorithms for Complex Metrics and Constraints

Optimizing Black-box Metrics with Iterative Example Weighting


Fine-tuned  MARL algorithms on SMAC (100% win rates on most scenarios)

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Low-level laser therapy on bone repair: is there any effect outside the irradiated field?

RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning.

ACE: Cooperative Multi-agent Q-learning with Bidirectional
  Action-Dependency

Policy Regularization via Noisy Advantage Values for Cooperative
  Multi-agent Actor-Critic methods

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning
  in Open Environment


Joint Detection and Embedding for fast multi-object tracking

Towards Real-Time Multi-Object Tracking

Rethinking the competition between detection and ReID in Multi-Object
  Tracking

Tracking and identification for football video analysis using deep learning

THIRTEENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2020)


DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Network Traffic Classification based on Single Flow Time Series Analysis


Easy access to NOAA Integrated Surface Database (ISD) surface meteorological observations

Spring Festival and COVID-19 Lockdown: Disentangling PM Sources in Major Chinese Cities

Visibility as a proxy for air quality in East Africa

Changing supersites: assessing the impact of the southern UK EMEP supersite relocation on measured atmospheric composition

Meteorological Normalisation Using Boosted Regression Trees to Estimate the Impact of COVID-19 Restrictions on Air Quality Levels

International journal of environmental research and public health

Variation of pollution sources and health effects on air pollution before and during COVID-19 pandemic in Linfen, Fenwei Plain


De novo protein structure prediction using iteratively predicted structural constraints

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints

Sequence-structure-function relationships in the microbial protein universe

Near-complete protein structural modelling of the minimal genome.

Co-evolutionary Distance Prediction for Flexibility Prediction


:warning: ARCHIVED :warning: R client for the PLoS Journals API

Social Relationships and Mortality Risk: A Meta-analytic Review

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Facebook Use Predicts Declines in Subjective Well-Being in Young Adults

Big Data: Astronomical or Genomical?

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

The prevalence of statistical reporting errors in psychology (1985–2013)

Impact of Ocean Warming and Ocean Acidification on Larval Development and Calcification in the Sea Urchin Tripneustes gratilla

A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014

Ten simple rules for responsible big data research

Ten Simple Rules for Writing a Literature Review


A bestiary of evolutionary, swarm and other metaphor-based algorithms

Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey

Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms

A comprehensive database of Nature-Inspired Algorithms

The Evolutionary Computation Methods No One Should Use


A Python Library for modeling combinatorial constrained problems

XCSP3: An Integrated Format for Benchmarking Combinatorial Constrained
  Problems

PyCSP3: Modeling Combinatorial Constrained Problems in Python

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems

Proceedings of the 2022 XCSP3 Competition


A Squeak/Smalltalk-based programming environment and framework that supports low-effort construction of graphical tools by employing a data-driven perspective and a script-based programming model.

Interleaving of Modification and Use in Data-driven Tool Development

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

The VIVIDE programming environment: connecting run-time information with programmers' system knowledge

Data-driven tool construction in exploratory programming environments


docker monitoring experiment


Diffusive Nested Sampling

A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy

Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Annual review of astronomy and astrophysics

Constraining the Limiting Brightness Temperature and Doppler Factors for the Largest Sample of Radio-bright Blazars

DNest4: Diffusive Nested Sampling in C++ and Python

Bayesian Methods in Cosmology

Bayesian Methods for Exoplanet Science

Search for Continuous Gravitational Wave Signals in Pulsar Timing Residuals: A New Scalable Approach with Diffusive Nested Sampling


Lima - Demultiplex Barcoded PacBio Samples

CeMbio - The C. elegans microbiome resource

Corrigendum: Occurrence and Characterization of mcr-1-Positive Escherichia coli Isolated From Food-Producing Animals in Poland, 2011–2016

A Reference Genome Sequence for Giant Sequoia

Microbial Community Dynamics and Natural Fermentation Profiles of Ensiled Alpine Grass Elymus nutans Prepared From Different Regions of the Qinghai-Tibetan Plateau

Fermented Soybean Meal Replacement in the Diet of Lactating Holstein Dairy Cows: Modulated Rumen Fermentation and Ruminal Microflora

Rhizosphere-Associated Microbiomes of Rice (Oryza sativa L.) Under the Effect of Increased Nitrogen Fertilization

Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

Genome annotation with long RNA reads reveals new patterns of gene expression and improves single-cell analyses in an ant brain

PacBio long-read amplicon sequencing enables scalable high-resolution population allele typing of the complex CYP2D6 locus

Dissection of full-length transcriptome and metabolome of Dichocarpum (Ranunculaceae): implications in evolution of specialized metabolism of Ranunculales medicinal plants


CMU ARK Twitter Part-of-Speech Tagger

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Adapting taggers to Twitter with not-so-distant supervision

International Conference on Computational Linguistics

Learning a POS tagger for AAVE-like language

North American Chapter of the Association for Computational Linguistics

CSIRO Data61 at the WNUT Geo Shared Task

Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification


A library for building hierarchical text representation and corresponding downstream applications.

R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

A Multi-Grained Self-Interpretable Symbolic-Neural Model For
  Single/Multi-Labeled Text Classification

Augmenting transformers with recursively composed multi-grained
  representations


An extended genotyping framework for Salmonella enterica serovar Typhi, the cause of human typhoid

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

Dynamics of antimicrobial resistance in intestinal Escherichia coli from children in community settings in South Asia and sub-Saharan Africa

A Population-Based Descriptive Atlas of Invasive Pneumococcal Strains Recovered Within the U.S. During 2015–2016

Global Scale Dissemination of ST93: A Divergent Staphylococcus aureus Epidemic Lineage That Has Recently Emerged From Remote Northern Australia

Molecular epidemiology in current times.

Analysis of Complete Genome Sequence of Acinetobacter baumannii Strain ATCC 19606 Reveals Novel Mobile Genetic Elements and Novel Prophage

Use of genomics to design a diagnostic assay to discriminate between Streptococcus pneumoniae and Streptococcus pseudopneumoniae

Population genomics of emerging Elizabethkingia anophelis pathogens reveals potential outbreak and rapid global dissemination

Phenotypic and genotypic features of the Mycobacterium tuberculosis lineage 1 subgroup in central Vietnam


Diffusion map based embedding and alignment

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex

Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding

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

Topographic gradients of intrinsic dynamics across neocortex

Multiscale communication in cortico-cortical networks

LittleBrain: A gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings

Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation

Asymmetric Functional Gradients in the Human Subcortex

Methods for decoding cortical gradients of functional connectivity

bioRxiv : the preprint server for biology

A parcellation scheme of mouse isocortex based on reversals in connectivity gradients


A Circos-based tool to visualize genome assembly consistency

Dynamic Transcriptome Sequencing of Bovine Alphaherpesvirus Type 1 and Host Cells Carried Out by a Multi-Technique Approach

To Trim or Not to Trim: Effects of Read Trimming on the De Novo Genome Assembly of a Widespread East Asian Passerine, the Rufous-Capped Babbler (Cyanoderma ruficeps Blyth)

Copy number variations with adaptive potential in caribou (Rangifer tarandus): genome architecture and new annotated genome assembly

Genomic novelty within a "great speciator" revealed by a high-quality reference genome of the collared kingfisher (Todiramphus chloris collaris).


Outdated, see new https://github.com/braindecode/braindecode

Machine-learning-based diagnostics of EEG pathology

Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

Weight Freezing: A Regularization Approach for Fully Connected Layers
  with an Application in EEG Classification

Improving Network Training on Resource-Constrained Devices via Habituation Normalization

Time-space-frequency feature Fusion for 3-channel motor imagery
  classification


Fast & scalable Gaussian Processes in one dimension

Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops

Spi-OPS: Spitzer and CHEOPS confirm the near-polar orbit of MASCARA-1 b and reveal a hint of dayside reflection

Statistical Methods for Exoplanet Detection with Radial Velocities

Annual review of statistics and its application

Photometric detection of internal gravity waves in upper main-sequence
  stars. III. Comparison of amplitude spectrum fitting and Gaussian process
  regression using celerite2


LASSO for GWAS with summary statistics

Improved genetic prediction of complex traits from individual-level data or summary statistics

Genetics, leadership position, and well-being: An investigation with a large-scale GWAS

Statistical models and computational tools for predicting complex traits and diseases

Genomics & informatics/Genomics & Informatics

MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups

Polygenic risk scores: effect estimation and model optimization

A Smoothed Version of the Lassosum Penalty for Fitting Integrated Risk Models Using Summary Statistics or Individual-Level Data

Topic modeling identifies novel genetic loci associated with multimorbidities in UK Biobank


A tool for generating bacterial genomes from metagenomes with nanopore long read sequencing

Complete, closed bacterial genomes from microbiomes using nanopore sequencing

Improved high-molecular-weight DNA extraction, nanopore sequencing and metagenomic assembly from the human gut microbiome

Automated strain separation in low-complexity metagenomes using long reads


Transition-based UCCA Parser

A Transition-Based Directed Acyclic Graph Parser for UCCA

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

Semantic Structural Evaluation for Text Simplification

Multitask Parsing Across Semantic Representations

Simple and Effective Text Simplification Using Semantic and Neural Methods

TUPA at MRP 2019: A Multi-Task Baseline System

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

HUJI-KU at MRP~2020: Two Transition-based Neural Parsers

Paths to Relation Extraction through Semantic Structure

Meeting of the Association for Computational Linguistics


circular RNA analysis toolset

A comprehensive overview and evaluation of circular RNA detection tools

Circular DNA tumor viruses make circular RNAs

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Advances in circular RNAs and their role in glioma (Review)

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization

Functional Annotation of circRNAs of Tea Leaves during the Infection by the Tea Leaf Spot Pathogen, Didymella segeticola


[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly
  Detection


BIOMASS Product Algorithm Laboratory