Documentation for MoBa Genetics data release

How important are parents in the development of child anxiety and depression? A genomic analysis of parent-offspring trios in the Norwegian Mother Father and Child Cohort Study (MoBa)

The Norwegian Mother, Father, and Child cohort study (MoBa) genotyping data resource: MoBaPsychGen pipeline v.1

Do environmental effects indexed by parental genetic variation influence common psychiatric symptoms in childhood?


Creative Commons Attribution Share Alike 4.0 International

A collection of literature on the use of computational intelligence methods in sports

Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units

Planning the sports training sessions with the bat algorithm

PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach

ACM transactions on intelligent systems and technology

Computational intelligence in sports: Challenges and opportunities within a new research domain

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Application of Internet of Things and artificial intelligence for smart fitness: A survey

Computational Intelligence in Sports

Artificial intelligence for team sports: a survey

Robust Sports Image Classification Using InceptionV3 and Neural Networks

Data Mining in Sports: A Systematic Review


WDPhotTools--A White Dwarf Photometric Toolkit in Python

WDPhotTools -- A White Dwarf Photometric Toolkit in Python


The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments

Introducing Explicit Gaze Constraints to Face Swapping


Parallel String Graph Construction, Transitive Reduction, and Contig Generation for De Novo Genome Assembly

BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper

Parallel String Graph Construction and Transitive Reduction for De Novo Genome Assembly


Code for evolving a Dark Matter minispike under the influence of a perturbing body, injecting energy through dynamical friction.

UvA-DARE (Digital Academic Repository) Detecting dark matter around black holes with gravitational waves Effects of dark-matter dynamics on the gravitational waveform

Measuring the dark matter environments of black hole binaries with gravitational waves

Disks, spikes, and clouds: distinguishing environmental effects on BBH
  gravitational waveforms

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer

Secondary accretion of dark matter in intermediate mass-ratio inspirals: Dark-matter dynamics and gravitational-wave phase

Sharpening the dark matter signature in gravitational waveforms II:
  Numerical simulations with the NbodyIMRI code

Sharpening the dark matter signature in gravitational waveforms I:
  Accretion and eccentricity evolution


A simple single molecule tracking pipeline with a graphic user interface for quality control.

Recovering mixtures of fast-diffusing states from short single-particle trajectories

Detecting molecular interactions in live-cell single-molecule imaging with proximity-assisted photoactivation (PAPA)

Single-molecule tracking (SMT): a window into live-cell transcription biochemistry

A novel pathogenic mutation of MeCP2 impairs chromatin association independent of protein levels


Tools for biogas research in R: process biogas data and predict biogas production

Development and Validation of a Low-Cost Gas Density Method for Measuring Biochemical Methane Potential (BMP)


Some Tutorials & in depth analysis of NLP's algorithms with an ethical flavour

A Unified Approach to Interpreting Model Predictions

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

Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods


A C++ library for working with particles and grids in a parallel setting.

On the road to per cent accuracy - V. The non-linear power spectrum beyond Lambda CDM with massive neutrinos and baryonic feedback

Monthly Notices of the Royal Astronomical Society

Studying large-scale structure probes of modified gravity with COLA

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of cosmology and astroparticle physics

Enabling matter power spectrum emulation in beyond-ΛCDM
  cosmologies with COLA

Hi-COLA: fast, approximate simulations of structure formation in Horndeski gravity

Revisiting Vainshtein screening for fast N-body simulations

Sesame: A power spectrum emulator pipeline for beyond-ΛCDM
  models


[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Delving into Sequential Patches for Deepfake Detection

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Block shuffling learning for Deepfake Detection

Robust Deepfake On Unrestricted Media: Generation And Detection

DeepFakes Detection: the DeeperForensics Dataset and Challenge

Handbook of Digital Face Manipulation and Detection


SkillMEx is a novel manufacturing execution system (MES) based on semantically modelled skills of machines. SkillMEx uses a knowledge graph to manage skills and execute them. BPMN is used to model and execute complex production processes.

Modeling and Executing Production Processes with Capabilities and Skills using Ontologies and BPMN

A Mapping Approach to Convert MTPs into a Capability and Skill Ontology

Model-Based Engineering of CPPS Functions and Code Generation for Skills


Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Normalizing Flows: An Introduction and Review of Current Methods

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

On the Sentence Embeddings from Pre-trained Language Models

Input complexity and out-of-distribution detection with likelihood-based generative models

What makes fake images detectable? Understanding properties that generalize

Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference


TorchEsegeta: Interpretability and Explainability pipeline for PyTorch

Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data

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


ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning

Shapley variable importance clouds for interpretable machine learning

Shapley variable importance cloud for interpretable machine learning

A novel interpretable machine learning system to generate clinical risk
  scores: An application for predicting early mortality or unplanned
  readmission in a retrospective cohort study


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of geophysical research. Earth surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

The Open Global Glacier Model (OGGM) v1.1

Modelling distributed and channelized subglacial drainage: the spacing of channels

Journal of Glaciology/Journal of glaciology

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


An FFTLog code for efficiently computing integrals containing 1 spherical Bessel function or Bessel function or its 1st/2nd derivative.

Beyond Limber: efficient computation of angular power spectra for galaxy clustering and weak lensing

Journal of Cosmology and Astroparticle Physics

Dark Energy Survey Year 3 results: galaxy clustering and systematics treatment for lens galaxy samples

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample

Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey

Monthly notices of the Royal Astronomical Society

Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and
  Validation

The N5K Challenge: Non-Limber Integration for LSST Cosmology

The Dark Energy Survey Year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering

Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies


Deform meshes by reinforcement learning

Accelerating 3D Deep Learning with PyTorch3D

Mesh R-CNN

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

Modeling 3D Shapes by Reinforcement Learning


Calculation of the Percentage of Conserved Proteins following Qin, Xie et al. 2014 but using DIAMOND instead of BLASTP for alignments.

Paraphocaeicola brunensis gen. nov., sp. nov., Carrying Two Variants of nimB Resistance Gene from Bacteroides fragilis, and Caecibacteroides pullorum gen. nov., sp. nov., Two Novel Genera Isolated from Chicken Caeca

Transfer of Erwinia toletana and Erwinia iniecta to a novel genus Winslowiella gen. nov. as Winslowiella toletana comb. nov. and Winslowiella iniecta comb. nov. and description of Winslowiella arboricola sp. nov., isolated from bleeding cankers on broadleaf hosts


CWL implementation of CloudNeo: A cloud pipeline for identifying patient-specific tumor neoantigens

CloudNeo: a cloud pipeline for identifying patient-specific tumor neoantigens

Main Strategies for the Identification of Neoantigens

Computational cancer neoantigen prediction: current status and recent advances


Easily Process a Batch of Cox Models

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Integrative genomic and transcriptomic analysis reveals immune subtypes and prognostic markers in ovarian clear cell carcinoma

A New Prognostic Risk Score: Based on the Analysis of Autophagy-Related Genes and Renal Cell Carcinoma

ezcox: An R/CRAN Package for Cox Model Batch Processing and Visualization


DRUGZ software

CRISPR-Cas9 screen identifies oxidative phosphorylation as essential for cancer cell survival at low extracellular pH

Identifying chemogenetic interactions from CRISPR knockout screens with drugZ

Genome-scale chemogenomic CRISPR screens in human cells using the TKOv3 library

DePARylation is critical for S phase progression and cell survival


Functions for single cell data analysis

Trophoblast Cell Subtypes and Dysfunction in the Placenta of Individuals with Preeclampsia Revealed by Single-Cell RNA Sequencing

Diversity and heterogeneity in human breast cancer adipose tissue revealed at single-nucleus resolution


Ultrafast opacity calculator for exoplanetary atmospheres.

HELIOS-K 2.0 Opacity Calculator and Open-source Opacity Database for Exoplanetary Atmospheres

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

Non-local thermodynamic equilibrium effects determine the upper atmospheric temperature structure of the ultra-hot Jupiter KELT-9b

ExoCAM: A 3D Climate Model for Exoplanet Atmospheres

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

CHEOPS geometric albedo of the hot Jupiter HD 209458 b

Observability of evaporating lava worlds

The Mantis Network III: Expanding the limits of chemical searches within
  ultra hot-Jupiters. New detections of Ca I, V I, Ti I, Cr I, Ni I, Sr II, Ba
  II, and Tb II in KELT-9 b

Observability of silicates in volatile atmospheres of super-Earths and
  sub-Neptunes

The Outer Edge of the Venus Zone around Main-sequence Stars

Sulphur dioxide in the mid-infrared transmission spectrum of WASP-39b.


Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

Going Beyond Classification Accuracy Metrics in Model Compression

A Variational Auto-Encoder for Reservoir Monitoring

VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast
  and Accurate Prediction of Partial Differential Equations


Tool to calculate the best dispersion measure for a burst using phase information.

Nine New Repeating Fast Radio Burst Sources from CHIME/FRB

Chromatic periodic activity down to 120 MHz in a Fast Radio Burst

A fast radio burst source at a complex magnetized site in a barred galaxy

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

Repeating fast radio bursts with WSRT/Apertif

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

Burst properties of the highly active FRB20201124A using uGMRT

The FRB 20121102A November rain in 2018 observed with the Arecibo Telescope

An analysis of the time-frequency structure of several bursts from FRB 121102 detected with MeerKAT

Multiband Detection of Repeating FRB 20180916B


Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)

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


PyContinual (An Easy and Extendible Framework for Continual Learning)

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks

Continual Pre-training of Language Models

Continual Learning of Natural Language Processing Tasks: A Survey

Continual Learning with Knowledge Transfer for Sentiment Classification

Continual Training of Language Models for Few-Shot Learning


GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134

Solving Schrödinger Bridges via Maximum Likelihood

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark


Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings

Empirical Methods in Natural Language Processing

Label-aware Double Transfer Learning for Cross-Specialty Medical Named
  Entity Recognition

Fine-tuning for Named Entity Recognition Using Part-of-Speech Tagging

Pacific Asia Conference on Language, Information and Computation

Chinese Named Entity Recognition Based on BERT and Lightweight Feature Extraction Model


R-package for elastic net regularized regression with zero sum constraint

Reference point insensitive molecular data analysis

Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances

Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints

Identification of gene pairs through penalized regression subject to constraints

A decomposition method for lasso problems with zero-sum constraint


Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Finnish news corpus for named entity recognition

Zero-Resource Cross-Lingual Named Entity Recognition

LINSPECTOR: Multilingual Probing Tasks for Word Representations

Projecting named entity recognizers without annotated or parallel corpora

Nordic Conference of Computational Linguistics


一份中文综述文章列表（自然语言处理&机器学习）

A Survey on Knowledge Graph-Based Recommender Systems

Knowledge Graph Construction Techniques

Survey on Techniques, Applications and Security of Machine Learning Interpretability

Text Emotion Analysis: A Survey

Research Review of Knowledge Graph and Its Application in Medical Domain

Network representation learning: an overview

Recent Advances in Neural Machine Translation

A Survey on Sentiment Classification

Social Computing in the Era of Big Data: Opportunities and Challenges

Recent Advances in Bayesian Machine Learning


An Energy Information Administration (EIA) API python client for researchers who just need data.


Spectroscopy Made Easy

The GALAH Survey: non-LTE departure coefficients for large spectroscopic surveys

Atomic diffusion and mixing in old stars

Measuring precise radial velocities on individual spectral lines


Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects


goscanner is a tool for large-scale TLS and SSH scans

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments
  at Scale


Reinforcement Learning in PyTorch

Learning to Manipulate Deformable Objects without Demonstrations

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Learning Visible Connectivity Dynamics for Cloth Smoothing


code for "Neural Jump Ordinary Differential Equations"

Latent ODEs for Irregularly-Sampled Time Series

GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering


The SeaFreeze package allows to compute the thermodynamic and elastic properties of water and ice polymorphs (Ih, III, V and VI) in the 0-2300 MPa and 220-500K range.

AQUA: a collection of H2O equations of state for planetary models

Holistic Approach for Studying Planetary Hydrospheres: Gibbs Representation of Ices Thermodynamics, Elasticity, and the Water Phase Diagram to 2,300 MPa

Journal of geophysical research. Planets

Thermodynamics of pure liquid water: Sound speed measurements to 700 MPa down to the freezing point, and an equation of state to 2300 MPa from 240 to 500 K

Stability of high-temperature salty ice suggests electrolyte permeability in water-rich exoplanet icy mantles

Liquid water on cold exo-Earths via basal melting of ice sheets

Gibbs energy of ices III, V and VI: wholistic thermodynamics and elasticity of the water phase diagram to 2300 MPa


Machine Comprehension Using Match-LSTM and Answer Pointer

Learning Natural Language Inference with LSTM

A Compare-Aggregate Model for Matching Text Sequences


The large-scale MultiLingual SUMmarization corpus

MLSUM: The Multilingual Summarization Corpus

Semantic Similarity Based Evaluation for Abstractive News Summarization

Benchmarking Large Language Model Capabilities for Conditional Generation


A repository to develop code for IBSI compliant radiomics applications

Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)


[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers

Rethinking Range View Representation for LiDAR Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning

Improving Predictive Performance and Calibration by Weight Fusion in
  Semantic Segmentation


Oink, an implementation of modern parity game solvers

Oink: An Implementation and Evaluation of Modern Parity Game Solvers

Tools and Algorithms for Construction and Analysis of Systems

Attracting Tangles to Solve Parity Games

Simple Fixpoint Iteration To Solve Parity Games


Finite element methods for electronic structure calculations on small systems

A review on non-relativistic fully numerical electronic structure calculations on atoms and diatomic molecules

International journal of quantum chemistry

Hartree--Fock and hybrid density functional theory calculations of static properties at the complete basis set limit via finite elements. I. Atoms

Fully numerical Hartree‐Fock and density functional calculations. II. Diatomic molecules

Fully numerical electronic structure calculations on diatomic molecules in weak to strong magnetic fields

Meta-GGA density functional calculations on atoms with spherically
  symmetric densities in the finite element formalism

Atomic electronic structure calculations with Hermite interpolating
  polynomials

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

Insight on Gaussian basis set truncation errors in weak to intermediate
  magnetic fields with an approximate Hamiltonian


Modeling stellar photometry with "brute force" methods

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

Constraining the distance to the North Polar Spur with Gaia DR2

Monthly Notices of the Royal Astronomical Society

Wide Twin Binaries are Extremely Eccentric: Evidence of Twin Binary Formation in Circumbinary Disks

Wide binaries from the H3 survey: the thick disc and halo have similar wide binary fractions

Evidence for C and Mg variations in the GD-1 stellar stream

Evidence for C, O, Al and Mg variations in the GD-1 stellar stream


Source code for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColoRAN: Design and Testing of Open RAN Intelligence on Large-scale Experimental Platforms," arXiv 2112.09559 [cs.NI], December 2021.

ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms

OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN
  on PAWR Platforms

Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym

ns-O-RAN: Simulating O-RAN 5G Systems in ns-3


Negative Update Intervals in Multi-Agent Deep Reinforcement Learning

A survey and critique of multiagent deep reinforcement learning

Lenient Multi-Agent Deep Reinforcement Learning

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning

Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models


Flexible Bayesian inference of mutational signatures

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Increased somatic mutation burdens in normal human cells due to defective DNA polymerases.

Somatic evolution and global expansion of an ancient transmissible cancer lineage

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

Inherited MUTYH mutations cause elevated somatic mutation rates and distinctive mutational signatures in normal human cells

Mutational landscape of normal epithelial cells in Lynch Syndrome patients

Clonal origin of KMT2A wild-type lineage-switch leukemia following CAR-T cell and blinatumomab therapy


Multiple Meta-model Quantifying for Medical Visual Question Answering (MICCAI 2021)

PathVQA: 30000+ Questions for Medical Visual Question Answering


Magic-BLAST, an accurate RNA-seq aligner for long and short reads

Technology dictates algorithms: Recent developments in read alignment

Magic-BLAST, an accurate DNA and RNA-seq aligner for long and short reads


A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Learning with minibatch Wasserstein : asymptotic and gradient properties

Minibatch optimal transport distances; analysis and applications

Improving Mini-batch Optimal Transport via Partial Transportation

On Transportation of Mini-batches: A Hierarchical Approach


TSCAN: Tools for Single-Cell ANalysis

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

TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis

Single cell transcriptome research in human placenta

GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge

Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach


Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time
  Guarantees

A Ranking Game for Imitation Learning

Structural Estimation of Markov Decision Processes in High-Dimensional
  State Space with Finite-Time Guarantees

Reward Learning using Structural Motifs in Inverse Reinforcement
  Learning

Imitation learning by state-only distribution matching


Streamlining Cross-Document Coreference Resolution: Evaluation and
  Modeling

Cross-document Coreference Resolution over Predicted Mentions

Realistic Evaluation Principles for Cross-document Coreference Resolution

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution

Sublinear Time Approximation of Text Similarity Matrices


Repository for spectral neighbor analysis potential (SNAP) model development.

Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy

Accurate force field for molybdenum by machine learning large materials data

An electrostatic spectral neighbor analysis potential for lithium nitride

Quantum-accurate spectral neighbor analysis potential models for Ni-Mo binary alloys and fcc metals


Parallel opt-SNE implementation with Python wrapper

Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel


Fast interstellar dust extinction laws in Python

The Koala: A Fast Blue Optical Transient with Luminous Radio Emission from a Starburst Dwarf Galaxy atz= 0.27

A Large Fraction of Hydrogen-rich Supernova Progenitors Experience Elevated Mass Loss Shortly Prior to Explosion

Evidence for Late-stage Eruptive Mass Loss in the Progenitor to SN2018gep, a Broad-lined Ic Supernova: Pre-explosion Emission and a Rapidly Rising Luminous Transient

extinction v0.3.0

SN 2017ein and the Possible First Identification of a Type Ic Supernova Progenitor

Nebular spectra of 111 Type Ia supernovae disfavour single-degenerate progenitors

A Search for Extragalactic Fast Blue Optical Transients in ZTF and the Rate of AT2018cow-like Transients

SN 2016iet: The Pulsational or Pair Instability Explosion of a Low-metallicity Massive CO Core Embedded in a Dense Hydrogen-poor Circumstellar Medium

A detailed spectroscopic study of Tidal Disruption Events

Precision angular diameters for 16 southern stars with VLTI/PIONIER


graph wavenet

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE transactions on intelligent transportation systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural
  Networks

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency

Transportation research. Part C, Emerging technologies


Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Style Normalization and Restitution for Domain Generalization and Adaptation

Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.


[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Contrastive Representation Distillation

Learning Student-Friendly Teacher Networks for Knowledge Distillation

CompRess: Self-Supervised Learning by Compressing Representations

Knowledge Distillation via the Target-aware Transformer

Curriculum Temperature for Knowledge Distillation

What Makes a "Good" Data Augmentation in Knowledge Distillation -- A
  Statistical Perspective

Distilling Knowledge by Mimicking Features

IEEE transactions on pattern analysis and machine intelligence

Improved Feature Distillation via Projector Ensemble

Meta Knowledge Distillation

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression


A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)

New physics in light of the H_0 tension: an alternative view

Tale of stable interacting dark energy, observational signatures, and the H0 tension

Journal of Cosmology and Astroparticle Physics

Interacting dark energy with time varying equation of state and the H0 tension

No Evidence for Extensions to the Standard Cosmological Model

Observational constraints on one-parameter dynamical dark-energy parametrizations and the H-0 tension

General cosmography model with spatial curvature

Monthly notices of the Royal Astronomical Society

Update on coupled dark energy and the H0 tension

Dark Energy with Phantom Crossing and the H0 Tension

Observational constraints on sign-changeable interaction models and alleviation of the H0 tension

Early modified gravity in light of the H_0 tension and LSS data


SQANTI2 is now replaced by SQANTI3. Please go to: https://github.com/ConesaLab/SQANTI3

Comprehensive characterization of single cell full-length isoforms in human and mouse with long-read sequencing

Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer

ORF Capture-Seq as a versatile method for targeted identification of full-length isoforms

A comprehensive long-read isoform analysis platform and sequencing resource for breast cancer

CRISPRi enables isoform-specific loss-of-function screens and identification of gastric cancer-specific isoform dependencies

Full-length transcript sequencing of human and mouse identifies widespread isoform diversity and alternative splicing in the cerebral cortex

LongTron: Automated Analysis of Long Read Spliced Alignment Accuracy


Genome Annotation Without Nightmares

Thermal regime during parental sexual maturation, but not during offspring rearing, modulates DNA methylation in brook charr (Salvelinus fontinalis)

Experimental evolution reveals complex responses to environmental change

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides).

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing


XAI - An eXplainability toolbox for machine learning

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Trustworthy AI: From Principles to Practices

Software engineering for Responsible AI: An empirical study and operationalised patterns

Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses

IEEE transactions on artificial intelligence


Accessing modified-base data from BAM files.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Chromosome-level, nanopore-only genome and allele-specific DNA methylation of Pallas's cat,Otocolobus manul

Deciphering D4Z4 CpG methylation gradients in fascioscapulohumeral muscular dystrophy using nanopore sequencing


DNA序列比对结果 可视化展示工具

The complete and fully-phased diploid genome of a male Han Chinese

Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana

Evaluation of Intracellular Gene Transfers from Plastome to Nuclear Genome across Progressively Improved Assemblies for Arabidopsis thaliana and Oryza sativa


Convert face dataset to masked dataset

Masked Face Recognition for Secure Authentication

Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19

Masked face recognition with convolutional visual self-attention network

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

Mapping the perception-space of facial expressions in the era of face masks

A Unified Framework for Masked and Mask-Free Face Recognition Via Feature Rectification

Adversarially Learning Occlusions by Backpropagation for Face Recognition


GANs with spectral normalization and projection discriminator

Spectral Normalization for Generative Adversarial Networks

Training Generative Adversarial Networks with Limited Data

cGANs with Projection Discriminator

Image Generation From Small Datasets via Batch Statistics Adaptation

A Large-Scale Study on Regularization and Normalization in GANs

Discriminator optimal transport

On the Evaluation of Conditional GANs

TinyGAN: Distilling BigGAN for Conditional Image Generation

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

BIGRoC: Boosting Image Generation via a Robust Classifier


reference pytorch code for intent classification

BERT for Joint Intent Classification and Slot Filling

On the effect of dropping layers of pre-trained transformer models

Dynamic Self-Attention : Computing Attention over Words Dynamically for
  Sentence Embedding


Generalized lasso implementations

Fast and Flexible ADMM Algorithms for Trend Filtering

False discovery rate smoothing

A Fast and Flexible Algorithm for the Graph-Fused Lasso

Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection

Journal of the American Statistical Association

Mixtures, envelopes, and hierarchical duality

Nonparametric density estimation by histogram trend filtering


A collection of scripts for processing fastq files in ways to improve de novo transcriptome assemblies, and for evaluating those assemblies.

Comparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats

Horizontal transmission enables flexible associations with locally adapted symbiont strains in deep-sea hydrothermal vent symbioses

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

Conditional stomatal closure in a fern shares molecular features with flowering plant active stomatal responses

The Evolution of Sox Gene Repertoires and Regulation of Segmentation in Arachnids

Signatures of adaptive evolution in platyrrhine primate genomes

(Un)expected Similarity of the Temporary Adhesive Systems of Marine, Brackish, and Freshwater Flatworms

International journal of molecular sciences

Transcriptomics of mussel transmissible cancer MtrBTN2 suggests accumulation of multiple cancer traits and oncogenic pathways shared among bilaterians

Transcriptome Profiling and Functional Validation of RING-Type E3 Ligases in Halophyte Sesuvium verrucosum under Salinity Stress

De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery


Optical Tweezers Toolbox (Version 1)

Optical Tweezers Exploring Neuroscience

Frontiers in bioengineering and biotechnology

Orientation of swimming cells with annular beam optical tweezers

Optical Trapping in a Dark Focus

OTSLM toolbox for Structured Light Methods

The European Proceedings of Social & Behavioural Sciences

Enhanced Signal-to-Noise and Fast Calibration of Optical Tweezers Using Single Trapping Events

Inert shell coating for enhanced laser refrigeration of nanoparticles:
  application in levitated optomechanics


DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.

DeepGS: Predicting phenotypes from genotypes using Deep Learning

Integrated Approach in Genomic Selection to Accelerate Genetic Gain in Sugarcane

A split-and-merge deep learning approach for phenotype prediction

Frontiers in bioscience (Landmark edition)

Predictions of Indigenous Chicken Phenotypes from Genotypes: Comparison Between Machine Learning and conventional Linear Models


ParsBERT: Transformer-based Model for Persian Language Understanding

Neural processing letters/Neural Processing Letters

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

ParsiNLU: A Suite of Language Understanding Challenges for Persian

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


Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Attention Is All You Need

End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort

End-to-end deep metamodeling to calibrate and optimize energy loads


Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

Molecular De Novo Design through Deep Reinforcement Learning

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

Scaffold-constrained molecular generation

Journal of chemical information and modeling

Can AI reproduce observed chemical diversity?

Exploring Chemical Space with Score-based Out-of-distribution Generation

Docking-based generative approaches in the search for new drug candidates

Automated patent extraction powers generative modeling in focused chemical spaces


The SDK for Jetpac's iOS Deep Belief image recognition framework

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Eye Tracking for Everyone

Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

IEEE transactions on information forensics and security

RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

Efficient Incremental Learning for Mobile Object Detection


DTDL based ontology for Energy Grid


Genome-wide contact analysis using sklearn

A supervised learning framework for chromatin loop detection in genome-wide contact maps

Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin


Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security


FC-DenseNet in PyTorch for Semantic Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Densely Connected Convolutional Networks

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Local Temperature Scaling for Probability Calibration

Langevin Cooling for Domain Translation


An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.

Improved local search for graph edit distance

New Techniques for Graph Edit Distance Computation

Upper Bounding Graph Edit Distance Based on Rings and Machine Learning

International journal of pattern recognition and artificial intelligence

Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning

Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching


DCEKit (Data Chemical Engineering toolKit)

Extended Gaussian mixture regression for forward and inverse analysis

Chemometrics and intelligent laboratory systems

Genetic Algorithm-Based Partial Least-Squares with Only the First Component for Model Interpretation

Molecular Descriptors, Structure Generation, and Inverse QSAR/QSPR Based on SELFIES

Development of Prediction Models for the Self-Accelerating Decomposition Temperature of Organic Peroxides

Interpretation of Machine Learning Models for Data Sets with Many Features Using Feature Importance

True Gaussian mixture regression and genetic algorithm-based optimization with constraints for direct inverse analysis

Science and technology of advanced materials. Methods


DETR - Faster RCNN implementation in tensorflow 2

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

Feature Pyramid Networks for Object Detection

End-to-End Object Detection with Transformers

Fast Convergence of DETR with Spatially Modulated Co-Attention


An optimal space run-length Burrows-Wheeler transform full-text index

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Journal of the Association for Computing Machinery

Optimal-Time Text Indexing in BWT-runs Bounded Space

Grammar-Compressed Indexes with Logarithmic Search Time

Fast, Small, and Simple Document Listing on Repetitive Text Collections

Matching reads to many genomes with the r-index

A Fast and Small Subsampled R-index

RLBWT Tricks

Tailoring r-index for metagenomics.

Grammar Index By Induced Suffix Sorting

A compressed dynamic self-index for highly repetitive text collections


Code for "Typilus: Neural Type Hints" PLDI 2020

Typilus: Neural Type Hints

Programming Language Design and Implementation

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.


AFET: Automatic Fine-Grained Entity Typing (EMNLP'16)

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

Empirical Methods in Natural Language Processing

Context-Dependent Fine-Grained Entity Type Tagging

Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing


Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Container orchestration on HPC systems through Kubernetes

MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes

Collectives in hybrid MPI+MPI code: design, practice and performance

Distributed Bayesian matrix factorization with limited communication


This repository  host the code for real-time action detection paper

Very Deep Convolutional Networks for Large-Scale Image Recognition

SSD: Single Shot MultiBox Detector

Online Real-time Multiple Spatiotemporal Action Localisation and Prediction

Deep Learning for Vision-based Prediction: A Survey

Real-Time End-to-End Action Detection with Two-Stream Networks


The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Are Transformers Effective for Time Series Forecasting?

CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction

Disentangling the Computational Complexity of Network Untangling

SAITS: Self-Attention-based Imputation for Time Series

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts

ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting

TCCT: Tightly-coupled convolutional transformer on time series forecasting


Python toolkit for speech processing

Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations

Time-domain speech super-resolution with GAN based modeling for
  telephony speaker verification


A Graph-theoretical Network Analysis Toolkit in MATLAB

The Local Topological Reconfiguration in the Brain Network After Targeted Hub Dysfunction Attacks in Patients With Juvenile Myoclonic Epilepsy


Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

"Learning-Compression" Algorithms for Neural Net Pruning

Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer

Model compression as constrained optimization, with application to neural nets. Part I: general framework

Model compression as constrained optimization, with application to neural nets. Part II: quantization.

More General and Effective Model Compression via an Additive Combination of Compressions

LC: A Flexible, Extensible Open-Source Toolkit for Model Compression

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

A flexible, extensible software framework for model compression based on
  the LC algorithm


[NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior

Neural Radiance Flow for 4D View Synthesis and Video Processing

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

Deep Video Prior for Video Consistency and Propagation


Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Compound Probabilistic Context-Free Grammars for Grammar Induction

Can RNNs learn Recursive Nested Subject-Verb Agreements?

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models

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

Ensemble Distillation for Unsupervised Constituency Parsing


Repository of Trans4PASS (accepted to CVPR2022)

Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Behind Every Domain There is a Shift: Adapting Distortion-aware Vision
  Transformers for Panoramic Semantic Segmentation


bioinformatics toolkit in rust

Gaps and complex structurally variant loci in phased genome assemblies

Genomic insights into metabolic flux in hummingbirds

Genomic insights into metabolic flux in ruby-throated hummingbirds


Domain adaptation made easy. Fully featured, modular, and customizable.

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Learning Transferable Features with Deep Adaptation Networks

Adversarial Discriminative Domain Adaptation

Deep Transfer Learning with Joint Adaptation Networks

语文教学通讯：初中（B）

Conditional Adversarial Domain Adaptation

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation with Residual Transfer Networks

A DIRT-T Approach to Unsupervised Domain Adaptation

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation


Learning to Adapt Structured Output Space for Semantic Segmentation

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters


Clustering routines for the unit sphere

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval

Directional Statistics in Machine Learning: a Brief Review

Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces

A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity

Changing the Geometry of Representations: α-Embeddings for NLP Tasks

Word Embeddings as Features for Supervised Coreference Resolution

Recent Advances in Natural Language Processing


Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Depth Uncertainty in Neural Networks

Bayesian Deep Learning via Subnetwork Inference


A pytorch wrapper for LF-MMI training and parallel training in Kaldi

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models

Quantization of Acoustic Model Parameters in Automatic Speech
  Recognition Framework

Speech Activity Detection Based on Multilingual Speech Recognition System


Deep Inversion Validation Library

Computed tomography reconstruction using deep image prior and learned reconstruction methods

LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction

PatchNR: Learning from Very Few Images by Patch Normalizing Flow
  Regularization

Unsupervised Knowledge-Transfer for Learned Image Reconstruction

Imaging based on Compton scattering: model uncertainty and data-driven reconstruction methods

3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions

LoDoPaB-CT Dataset

Zenodo (CERN European Organization for Nuclear Research)

Boosting Data-Driven Mirror Descent with Randomization, Equivariance,
  and Acceleration


RISC-V processor emulator written in Rust+WASM


Unsupervised Neural Machine Translation from West African Pidgin (Creole) to English without a single parallel sentence

Unsupervised Machine Translation Using Monolingual Corpora Only

Phrase-Based & Neural Unsupervised Machine Translation

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

PidginUNMT: Unsupervised Neural Machine Translation from West African
  Pidgin to English


Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Explaining black box text modules in natural language with language
  models

Augmenting Interpretable Models with LLMs during Training

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Rethinking Interpretability in the Era of Large Language Models


A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI

Political Alignment Identification: a Study with Documents of Argentinian Journalists

Journal of computer science and technology


Dataset and baseline for the first Audiocaption task

Clotho: An Audio Captioning Dataset

Audio Caption: Listen and Tell

International Conference on Acoustics, Speech, and Signal Processing

Audio Caption in a Car Setting with a Sentence-Level Loss

What does a Car-ssette tape tell?


Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Deep Kernel Learning

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Uncertainty Sets for Image Classifiers using Conformal Prediction

Image-to-Image Regression with Distribution-Free Uncertainty
  Quantification and Applications in Imaging

CARD: Classification and Regression Diffusion Models

Do Bayesian Neural Networks Need To Be Fully Stochastic?

The Unreasonable Effectiveness of Deep Evidential Regression


Benchmarks for Model-Based Optimization

Conservative Objective Models for Effective Offline Model-Based Optimization

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

RoMA: Robust Model Adaptation for Offline Model-based Optimization


Optimize energy assets using mixed-integer linear programming


Distribution package for the Prgressive Cactus multiple genome aligner.  Dependencies are linked as submodules

Comparative Annotation Toolkit (CAT)—simultaneous clade and personal genome annotation

Comparative assembly hubs: Web-accessible browsers for comparative genomics

Regulatory remodeling in the allo-tetraploid frog Xenopus laevis

Sequencing the Genome of Indian Flying Fox, Natural Reservoir of Nipah Virus, Using Hybrid Assembly and Conservative Secondary Scaffolding

Evolutionarily conserved non-protein-coding regions in the chicken genome harbor functionally important variation


R package containing useful functions for mutational signature analysis

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

The impact of rare germline variants on human somatic mutation processes

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment

bioRxiv : the preprint server for biology

Mutational topography reflects clinical neuroblastoma heterogeneity


Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

Peeking behind objects: Layered depth prediction from a single image

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

Real-time Vision-based Depth Reconstruction with NVidia Jetson

DeepLens: Towards a Visual Data Management System

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network


Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"


ProPara (Process Paragraph Comprehension) dataset and models

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Be Consistent! Improving Procedural Text Comprehension using Label Consistency

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding

Meeting of the Association for Computational Linguistics

Coalescing Global and Local Information for Procedural Text
  Understanding

Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding

Procedural Text Understanding via Scene-Wise Evolution


:gift:[ChatGPT4MTevaluation] ErrorAnalysis Prompt for MT Evaluation in ChatGPT

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Large Language Models Are State-of-the-Art Evaluators of Translation
  Quality

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis


This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).

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

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

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

An Efficient Multilingual Language Model Compression through Vocabulary
  Trimming

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

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models


SciFive: a text-text transformer model for biomedical literature

SciFive: a text-to-text transformer model for biomedical literature

Pre-trained Language Models in Biomedical Domain: A Systematic Survey


Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

Learning and inference in knowledge-based probabilistic model for medical diagnosis

Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis

Convolutional Gated Recurrent Units for Medical Relation Classification


Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python

Measurement of anomalous diffusion using recurrent neural networks.

Machine learning classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis

Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

Universal exploration dynamics of random walks

A direct method to detect deterministic and stochastic properties of data

Comparing Scale Parameter Estimators for Gaussian Process Regression:
  Cross Validation and Maximum Likelihood


Tensorflow implementation of a Neural Turing Machine

Neural Turing Machines

Implementing Neural Turing Machines

Learning to Remember More with Less Memorization

Memory and attention in deep learning


A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation

IEEE transactions on pattern analysis and machine intelligence

IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation.

SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming


Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering
  Evaluation on Real Objects

Ghost on the Shell: An Expressive Representation of General 3D Shapes


Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

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

Revisiting Pre-Trained Models for Chinese Natural Language Processing

PERT: Pre-training BERT with Permuted Language Model

Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME


Linear mixed model for genomic analyses.

The germline genetic component of drug sensitivity in cancer cell lines

Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana

LiMMBo: a simple, scalable approach for linear mixed models in high-dimensional genetic association studies

Gene-environment interactions using a Bayesian whole genome regression model

Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!

Computational and structural biotechnology journal

Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS

Adaptive protein evolution through length variation in short tandem repeats

Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosis

Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis


Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"

Exploring Neural Models for Query-Focused Summarization

AWESOME: GPU Memory-constrained Long Document Summarization using Memory
  Mechanism and Global Salient Content

Meeting Summarization with Pre-training and Clustering Methods


The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

U2-Net: Going deeper with nested U-structure for salient object detection

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Isprs Journal of Photogrammetry and Remote Sensing

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation

Neural Networks Fail to Learn Periodic Functions and How to Fix It


A collection of work related to COVID-19

An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

Modelling the first wave of COVID-19 in India

A multi-source global-local model for epidemic management

Effect of lockdown interventions to control the COVID-19 epidemic in India

Masks and COVID-19: a causal framework for imputing value to public-health interventions

Looking back on forward-looking COVID models


Molecular structure optimizer

Improving excited state potential energy surfaces via optimal orbital
  shapes

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

Alchemical geometry relaxation

The S-diagnostic – an a posteriori error assessment for
  single-reference coupled-cluster methods

Even order contributions to relative energies vanish for antisymmetric
  perturbations


[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks


Simple FASTQ quality assessment using Python

Legume genomics and transcriptomics: From classic breeding to modern technologies

Al-Mi’galaẗ al-sa'udiyaẗ lī-ulum al-ḥayaẗ

Transcriptome Profiling Reveals Important Transcription Factors and Biological Processes in Skin Regeneration Mediated by Mechanical Stretch

Deciphering Key Foreign Body Reaction-Related Transcription Factors and Genes Through Transcriptome Analysis

Proteotranscriptomics – A facilitator in omics research


Repository for VOneNet models

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

Neural Population Geometry Reveals the Role of Stochasticity in Robust
  Perception

Mixed Evidence for Gestalt Grouping in Deep Neural Networks

Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs


IRGAN SIGIR paper experimental code

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

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

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Adversarial Sampling and Training for Semi-Supervised Information Retrieval

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

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training

Sampling-Decomposable Generative Adversarial Recommender

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances


Official TagMe API wrapper for Python.

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge

Knowledge Rumination for Pre-trained Language Models


Command-line tool for the visualization of splicing events across multiple samples

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization

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

Nopp140-chaperoned 2’-O-methylation of small nuclear RNAs in Cajal bodies ensures splicing fidelity

Alternative splicing in lung influences COVID-19 severity and respiratory diseases


Implementation of Rank-biased Overlap

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Faking feature importance: A cautionary tale on the use of
  differentially-private synthetic data

Automatic Readability Assessment for Closely Related Languages

Packaged foods with pulse ingredients in Europe: A dataset of text-mined product formulations

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions


Visualization of NBA games from raw SportVU data logs

Generative Modeling of Multimodal Multi-Human Behavior

Modeling Player and Team Performance in Basketball

Generative Attention Networks for Multi-Agent Behavioral Modeling

tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball
  Data

baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning

Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning

baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents

Interaction Modeling with Multiplex Attention

Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts


Hide your geographic location from websites.

Optimal Geo-Indistinguishable Mechanisms for Location Privacy

Conference on Computer and Communications Security

Metric-based local differential privacy for statistical applications

Is Geo-Indistinguishability What You Are Looking for?

Rethinking Location Privacy for Unknown Mobility Behaviors

A Tabula Rasa Approach to Sporadic Location Privacy.

Production of Categorical Data Verifying Differential Privacy:
  Conception and Applications to Machine Learning


A library for speech data augmentation in time-domain

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Wav2Vec-Aug: Improved self-supervised training with limited data

Improving generalizability of distilled self-supervised speech
  processing models under distorted settings

Toward Degradation-Robust Voice Conversion

Synthetic speech detection using meta-learning with prototypical loss

DualVC 2: Dynamic Masked Convolution for Unified Streaming and
  Non-Streaming Voice Conversion

Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications


A compact toolbox for backdoor attacks and defenses.

Towards A Proactive ML Approach for Detecting Backdoor Poison Samples


Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.

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

Recitation-Augmented Language Models

Proving Test Set Contamination in Black Box Language Models

InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers

Психология. Журнал Высшей школы экономики


Camoscio: An Italian instruction-tuned language model based on LLaMA

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Camoscio: an Italian Instruction-tuned LLaMA


A Survey of Knowledge-enhanced Text Generation

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Enhancing Dialogue Generation with Conversational Concept Flows

Findings of the Association for Computational Linguistics: EACL 2023


DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models (IJCAI 2023) | The DiffuseStyleGesture+ entry to the GENEA Challenge 2023 (ICMI 2023, Reproducibility Award)

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

The GENEA Challenge 2023: A large scale evaluation of gesture generation
  models in monadic and dyadic settings

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023


Task generation for testing text understanding and reasoning

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

End-to-end offline goal-oriented dialog policy learning via policy gradient

Learning to Organize Knowledge with N-Gram Machines

Learning to Organize Knowledge and Answer Questions with N-Gram Machines


Fast computation of Krippendorff's alpha agreement measure in Python.

NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

Assessing the Impact of Contextual Information in Hate Speech Detection

Headline Generation: Learning from Decomposed Document Titles.

A System for Worldwide COVID-19 Information Aggregation

Leveraging GPT-4 for Food Effect Summarization to Enhance
  Product-Specific Guidance Development via Iterative Prompting

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


Self-supervised contrastive learning for time series via time-frequency consistency

Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency

A Survey on Time-Series Pre-Trained Models

Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


CVPR 2022 VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

BallGAN: 3D-aware Image Synthesis with a Spherical Background

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized
  Codebase


Curiosity-driven Exploration by Self-supervised Prediction

Proximal Policy Optimization Algorithms

Large-Scale Study of Curiosity-Driven Learning

Efficient Parallel Methods for Deep Reinforcement Learning

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration.


This is the code for our KILT leaderboard submissions (KGI + Re2G models).

Re2G: Retrieve, Rerank, Generate

Robust Retrieval Augmented Generation for Zero-shot Slot Filling

KGI: An Integrated Framework for Knowledge Intensive Language Tasks


Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

Unsupervised Translation of Programming Languages

Execution-based Code Generation using Deep Reinforcement Learning

Syntax and Domain Aware Model for Unsupervised Program Translation

On ML-Based Program Translation: Perils and Promises


Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Simple Baseline for Bayesian Uncertainty in Deep Learning

A Kronecker-factored approximate Fisher matrix for convolution layers

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Diagonal Rescaling For Neural Networks

DDPNOpt: Differential Dynamic Programming Neural Optimizer

Dynamic Game Theoretic Neural Optimizer

A Differential Game Theoretic Neural Optimizer for Training Residual
  Networks


Associated Repository for "Translation between Molecules and Natural Language"

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

MolXPT: Wrapping Molecules with Text for Generative Pre-training


Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Latent ODEs for Irregularly-Sampled Time Series

Neural Controlled Differential Equations for Irregular Time Series

On Neural Differential Equations

Neural Rough Differential Equations for Long Time Series

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU

Neural Controlled Differential Equations for Online Prediction Tasks

NRTSI: Non-Recurrent Time Series Imputation

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation


Pan-genome wide association studies

Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary

Biofilm Formation of Listeria monocytogenes Strains Under Food Processing Environments and Pan-Genome-Wide Association Study

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016

Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes

Development of two microbial source tracking markers for detection of wastewater-associated Escherichia coli isolates

Association of Virulence, Biofilm, and Antimicrobial Resistance Genes with Specific Clonal Complex Types of Listeria monocytogenes

Whole-Genome Comparative Analysis Reveals Association Between Salmonella Genomic Variation and Egg Production Systems

Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China

Variability in Cold Tolerance of Food and Clinical Listeria monocytogenes Isolates


MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A
  Comprehensive Evaluation

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

A Thorough Evaluation of Task-Specific Pretraining for Summarization

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

BiFSMN: Binary Neural Network for Keyword Spotting

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

Chinese Grammatical Correction Using BERT-based Pre-trained Model


Project for Connectionist Temporal Classification with Maximum Entropy Regularization.

Text Recognition in the Wild: A Survey

Self-distillation Regularized Connectionist Temporal Classification Loss
  for Text Recognition: A Simple Yet Effective Approach


Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Analyzing Stereotypes in Generative Text Inference Tasks

Knowledge Enhanced Reflection Generation for Counseling Dialogues

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Dual Task Framework for Improving Persona-grounded Dialogue Dataset

A Survey On Few-shot Knowledge Graph Completion with Structural and
  Commonsense Knowledge


WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations

North American Chapter of the Association for Computational Linguistics

A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations

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

Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents

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


Machine Unlearning

A Survey of Machine Unlearning

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods

Proof of Unlearning: Definitions and Instantiation


A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Mastering Atari, Go, chess and shogi by planning with a learned model

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Visualizing MuZero Models

E-MCTS: Deep Exploration in Model-Based Reinforcement Learning by
  Planning with Epistemic Uncertainty


Get started with CORD-19

CORD-19: The COVID-19 Open Research Dataset

Text mining approaches for dealing with the rapidly expanding literature on COVID-19

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture

A Survey for Biomedical Text Summarization: From Pre-trained to Large
  Language Models


Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

Reliable Label Bootstrapping for Semi-Supervised Learning

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning


ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

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

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A
  Comprehensive Evaluation

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Grammatical Error Correction: A Survey of the State of the Art

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Controllable data synthesis method for grammatical error correction

Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

International Conference on Computational Linguistics

Controlling Grammatical Error Correction Using Word Edit Rate

Cross-lingual Transfer Learning for Grammatical Error Correction

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing


A Tensorflow implementation of Collaborative Metric Learning (CML)

Collaborative Metric Learning

Sequential Recommendation via Stochastic Self-Attention

Sampling-Decomposable Generative Adversarial Recommender

Topology Distillation for Recommender System

Bidirectional Distillation for Top-K Recommender System

Improving Collaborative Metric Learning with Efficient Negative Sampling

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Loss Aversion in Recommender Systems: Utilizing Negative User Preference
  to Improve Recommendation Quality

Unbiased Knowledge Distillation for Recommendation

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling

IEEE transactions on pattern analysis and machine intelligence

The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm


Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos

PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR '21)

Single-Shot 3D Multi-Person Shape Reconstruction from a Single RGB Image


GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

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

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization


Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks

Mitigating Dataset Bias by Using Per-sample Gradient

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation


Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large
  Language Models

AWQ: Activation-aware Weight Quantization for LLM Compression and
  Acceleration

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient
  Inference in Large-Scale Generative Language Models

Memory-Efficient Fine-Tuning of Compressed Large Language Models via
  sub-4-bit Integer Quantization

OWQ: Lessons learned from activation outliers for weight quantization in
  large language models

ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization
  Using Floating-Point Formats

Optimize Weight Rounding via Signed Gradient Descent for the
  Quantization of LLMs

Integer or Floating Point? New Outlooks for Low-Bit Quantization on
  Large Language Models

Token-Scaled Logit Distillation for Ternary Weight Generative Language
  Models


[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

HoughNet: Integrating near and long-range evidence for bottom-up object detection

HoughNet: Integrating near and long-range evidence for visual detection


PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned
  from Images

Learning Gradient Fields for Shape Generation

ChartPointFlow for Topology-Aware 3D Point Cloud Generation


De-Novo Repeat Discovery Tool

RepeatModeler2 for automated genomic discovery of transposable element families

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

RepeatModeler2: automated genomic discovery of transposable element families

Effector gene reshuffling involves dispensable mini-chromosomes in the wheat blast fungus

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

Reference genome assemblies reveal the origin and evolution of allohexaploid oat

Genetics of nodulation in Aeschynomene evenia uncovers mechanisms of the rhizobium-legume symbiosis

Contingency in the convergent evolution of a regulatory network: Dosage compensation in Drosophila

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

Genetic Basis of Dorper Sheep (Ovis aries) Revealed by Long-Read De Novo Genome Assembly

Repetitive DNA sequence detection and its role in the human genome


A tensorflow implementation of EAST text detector

EAST: An Efficient and Accurate Scene Text Detector

Rotation-Sensitive Regression for Oriented Scene Text Detection

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

SwapText: Image Based Texts Transfer in Scenes

SynthText3D: synthesizing scene text images from 3D virtual worlds

Text Detection and Recognition in the Wild: A Review

Selective Style Transfer for Text

Scene Text Detection in Natural Images: A Review

ロボティクス・メカトロニクス講演会講演概要集

Boosting up Scene Text Detectors with Guided CNN


Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes

Conditional Image Generation by Conditioning Variational Auto-Encoders

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

Contrastive Search Is What You Need For Neural Text Generation

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning


Page to PAGE Layout Analysis Tool

Multi-Task Handwritten Document Layout Analysis

An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers

Evaluation of a Region Proposal Architecture for Multi-task Document
  Layout Analysis

Digital Editions as Distant Supervision for Layout Analysis of Printed Books


CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Fine-tuning CNN Image Retrieval with No Human Annotation

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

Deep Shape Matching


Repository for Scale-recurrent Network for Deep Image Deblurring

Deep Ordinal Regression Network for Monocular Depth Estimation

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

International journal of computer vision

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

mixup: Beyond Empirical Risk Minimization

Relation Networks for Object Detection

Towards Real-Time Multi-Object Tracking

Argus: Efficient Activity Detection System for Extended Video Analysis

2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)


Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

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

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

Generative Adversarial Networks for MR-CT Deformable Image Registration

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

IEEE European Symposium on Security and Privacy

Neural network augmented wave-equation simulation

A Quantitative Analysis of the Taxonomy of Artistic Styles


Recognizing cropped text in natural images.

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

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

Text Recognition in the Wild: A Survey

2D Attentional Irregular Scene Text Recognizer

Exploring Font-independent Features for Scene Text Recognition

On Calibration of Scene-Text Recognition Models


Official PyTorch implementation of RobustNet (CVPR 2021 Oral)

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

Pin the Memory: Learning to Generalize Semantic Segmentation

EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization

Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow

Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization


Passage Re-ranking with BERT

Question Rewriting for Conversational Question Answering

Learning-to-Rank with BERT in TF-Ranking

A Comparison of Question Rewriting Methods for Conversational Passage Retrieval

A Little Bit Is Worse Than None: Ranking with Limited Training Data

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators

Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval

Explicit Query Rewriting for Conversational Dense Retrieval

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Learning Representations and Agents for Information Retrieval


Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Bayesian Active Learning for Sim-to-Real Robotic Perception

BABA: Beta Approximation for Bayesian Active Learning.


This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Survey on Large Language Models for Software Engineering


PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learning

Speech Model Pre-training for End-to-End Spoken Language Understanding

Using Speech Synthesis to Train End-to-End Spoken Language Understanding
  Models

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation

Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification

Exploring Teacher-Student Learning Approach for Multi-Lingual Speech-to-Intent Classification


DeepLab-ResNet rebuilt in TensorFlow

Incremental Learning Techniques for Semantic Segmentation

Knowledge Distillation for Incremental Learning in Semantic Segmentation

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video

GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training

Multi-Scale, Class-Generic, Privacy-Preserving Video


Do What The F*ck You Want To Public License

A very long list of English profanity.

A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm

Battling Hateful Content in Indic Languages HASOC '21

The Telegram Chronicles of Online Harm


Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (https://arxiv.org/abs/2010.05700).

Multiple-Attribute Text Style Transfer

Transforming Delete, Retrieve, Generate Approach for Controlled Text
  Style Transfer

A Probabilistic Formulation of Unsupervised Text Style Transfer

Weakly-Supervised Open-Retrieval Conversational Question Answering


DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

DSAC - Differentiable RANSAC for Camera Localization

Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC

Rigidity Preserving Image Transformations and Equivariance in
  Perspective


Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

FREDE: Anytime Graph Embeddings

Adaptive Network Automata Modelling of Complex Networks


The Low Impact version of the Organic Basics website


Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Deep learning for time series classification: a review

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

Deep Neural Network Ensembles for Time Series Classification

International Joint Conference on Neural Network

Contralaterally Enhanced Networks for Thoracic Disease Detection

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic
  Time Warping

ATCN: Resource-efficient Processing of Time Series on Edge


Efficient optimal control solvers for robotic systems.

Whole-body model predictive control with rigid contacts via online switching time optimization

Structure-exploiting Newton-type method for optimal control of switched systems

Lifted contact dynamics for efficient optimal control of rigid body systems with contacts


Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Uncheatable Machine Learning Inference


A PyTorch implementation of "Robust Universal Neural Vocoding"

Towards achieving robust universal neural vocoding

Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains

Robust universal neural vocoding


Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Understanding Abuse: A Typology of Abusive Language Detection Subtasks

Racial Bias in Hate Speech and Abusive Language Detection Datasets

Detecting and Monitoring Hate Speech in Twitter

Deep Learning Models for Multilingual Hate Speech Detection

Algorithmic fairness datasets: the story so far

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection

Prediction Uncertainty Estimation for Hate Speech Classification

Zenodo (CERN European Organization for Nuclear Research)

MTTM: Metamorphic Testing for Textual Content Moderation Software


(CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Compositional Chain-of-Thought Prompting for Large Multimodal Models

SEED-Bench-2: Benchmarking Multimodal Large Language Models


code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task
  Image Manipulation Detection and Localization

Rethinking Image Forgery Detection via Contrastive Learning and
  Unsupervised Clustering


Code for Neural Spline Flows paper

Neural Spline Flows

Scalable Normalizing Flows for Permutation Invariant Densities

Variational Inference with Continuously-Indexed Normalizing Flows

Robust model training and generalisation with Studentising flows

Learning Bijective Feature Maps for Linear ICA

Quasi-Bayesian Nonparametric Density Estimation via Autoregressive
  Predictive Updates


pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

International ACM SIGIR Conference on Research and Development in Information Retrieval

DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based
  re-ranking for case law retrieval

Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future

OpenMatch: An Open Source Library for Neu-IR Research

Universal Vision-Language Dense Retrieval: Learning A Unified
  Representation Space for Multi-Modal Retrieval

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages