Tools for fitting transiting exoplanet lightcurves and radial velocities

HD 2685 b: a hot Jupiter orbiting an early F-type star detected by TESS

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

DISCOVERY AND VALIDATION OF A HIGH-DENSITY SUB-NEPTUNE FROM THE K2 MISSION

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

A hot Saturn on an eccentric orbit around the giant star K2-132

An Independent Discovery of Two Hot Jupiters from the K2 Mission

Publications of the Astronomical Society of the Pacific

The architecture and formation of the Kepler-30 planetary system

The Next Generation Transit Survey—prototyping phase

K2-113: a dense hot Jupiter transiting a solar analogue


Human Pangenome Reference Consortium - HG002 Data Freeze (v1.0)

Semi-automated assembly of high-quality diploid human reference genomes

Curated variation benchmarks for challenging medically relevant autosomal genes

Extended haplotype-phasing of long-read de novo genome assemblies using Hi-C

Accelerating Minimap2 for accurate long read alignment on GPUs

DeepTrio: Variant Calling in Families Using Deep Learning

An Extensive Sequence Dataset of Gold-Standard Samples for Benchmarking and Development


'NKD and USKD' (ICCV 2023) and 'ViTKD'

Distilling the Knowledge in a Neural Network

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

Masked Generative Distillation

ViTKD: Practical Guidelines for ViT feature knowledge distillation

From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels

Rethinking Knowledge Distillation via Cross-Entropy


TensorFlow Tutorials with YouTube Videos

On The Power of Curriculum Learning in Training Deep Networks

LensFlow: A Convolutional Neural Network in Search of Strong Gravitational Lenses

An encoder-decoder based grapheme-to-phoneme converter for Bangla speech synthesis

Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi

Hybrid Data-Driven Deep Learning Framework for Material Mechanical Properties Prediction with the Focus on Dual-Phase Steel Microstructures


Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Optimizing Millions of Hyperparameters by Implicit Differentiation

Adapting Auxiliary Losses Using Gradient Similarity

Learning to Generate Synthetic Training Data using Gradient Matching and
  Implicit Differentiation


Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.

De novo peptide sequencing by deep learning

Research in Computational Molecular Biology

pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework

Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework

Sequence-to-sequence translation from mass spectra to peptides with a transformer model


This is a clean implementation of AM-GANs, supporting our paper “Activation Maximization Generative Adversarial Nets”.

Improved Techniques for Training GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis


ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

3D-LLM: Injecting the 3D World into Large Language Models

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D
  Understanding, Generation, and Instruction Following

PointLLM: Empowering Large Language Models to Understand Point Clouds


CROWN: A Neural Network Verification Framework for Networks with General Activation Functions

Intriguing properties of neural networks

Certified Adversarial Robustness via Randomized Smoothing

Efficient Neural Network Robustness Certification with General Activation Functions

Tight Certification of Adversarially Trained Neural Networks via
  Nonconvex Low-Rank Semidefinite Relaxations


Reproduce CheXNet

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

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

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset

An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images

Learning Visual Context by Comparison

Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic

International journal of medical informatics

Secure deep learning for distributed data against maliciouscentral server


A script for audio/transcript alignment. Fork of p2fa.

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Multimodal sentiment analysis with word-level fusion and reinforcement learning

Talking Face Generation by Conditional Recurrent Adversarial Network

Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions

Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset

IEEE transactions on affective computing

Attending to Emotional Narratives

Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives


ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970

Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Deep Learning for Automated Medical Image Analysis


Data, plots and code for constraints on axions, axion-like particles, and dark photons

First results of the CAST-RADES haloscope search for axions at 34.67 μeV

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

Scalable haloscopes for axion dark matter detection in the 30 μeV range with RADES

Galactic origin of relativistic bosons and XENON1T excess

Journal of Cosmology and Astroparticle Physics

Search for galactic axions with a high-Q dielectric cavity

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

Cosmological constraints on decaying axion-like particles: a global analysis

Strong constraints on decay and annihilation of dark matter from heating of gas-rich dwarf galaxies

New inflationary probes of axion dark matter

Axion echoes from the supernova graveyard

Cosmology and direct detection of the Dark Axion Portal


Industry-Energy-Tool-(IET)


python module for performing blocking analysis on data containing serial correlations

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Journal of chemical theory and computation

Linked Coupled Cluster Monte Carlo

A study of the dense uniform electron gas with high orders of coupled cluster

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry

Exciting Determinants in Quantum Monte Carlo: Loading the Dice with Fast, Low-Memory Weights

Minimising biases in full configuration interaction quantum Monte Carlo

An auxiliary-Field quantum Monte Carlo perspective on the ground state of the dense uniform electron gas: An investigation with Hartree-Fock trial wavefunctions

Understanding and improving the efficiency of full configuration interaction quantum Monte Carlo.

Large scale parallelization in stochastic coupled cluster

An approach to calculate the free energy changes of surface reactions using free energy decomposition on ab initio brute-force molecular dynamics trajectories

Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics


A library of ultrasoft and PAW pseudopotentials

Quasi-harmonic temperature dependent elastic constants: applications to silicon, aluminum, and silver

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

Thermal conductance of metallic atomic-size contacts: Phonon transport and Wiedemann-Franz law

Temperature dependent elastic constants and thermodynamic properties of BAs: An ab initio investigation

Quasi-harmonic thermoelasticity of palladium, platinum, copper, and gold from first principles

Spin-Symmetry Broken Ground-State of UO_2 in DFT+U Approach: The SMC
  Method

A first-principles method to calculate fourth-order elastic constants of solid materials

Comparison of SMC and OMC results in determining the ground-state and
  meta-stable states solutions for UO_2 in DFT+U method

Li x CoO 2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories.

DFT+U study of UO_2: Correct lattice parameter and electronic band-gap

Self-consistent on-site and inter-site Hubbard parameters within DFT+U+V
  for UO_2 using density-functional perturbation theory


TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

International Conference on Information and Knowledge Management

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

Variational Information Diffusion for Probabilistic Cascades Prediction

International Conference on Computer Communications

An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning


Hyperparameter optimization with approximate gradient

Implicit differentiation of Lasso-type models for hyperparameter optimization

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis


Extracting Lyapunov exponents from the echo dynamics of Bose-Einstein condensates on a lattice

Dynamics of topological defects after photoinduced melting of a charge density wave

Transient ordering in the Gross-Pitaevskii lattice after an energy quench within a nonordered phase


Multilingual Quality Estimation and Automatic Post-editing Dataset

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

Quality Estimation without Human-labeled Data

Translation Error Detection as Rationale Extraction

Bias Mitigation in Machine Translation Quality Estimation

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

Mismatching-Aware Unsupervised Translation Quality Estimation For
  Low-Resource Languages


Bayesian optimization and active learning with likelihood-weighted acquisition functions

Bayesian optimization with output-weighted optimal sampling

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

Informative path planning for anomaly detection in environment exploration and monitoring


BemTool is a C++ boundary element library.

Robust treatment of cross points in Optimized Schwarz Methods

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

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


A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

On PAC-Bayesian Bounds for Random Forests

On Margins and Generalisation for Voting Classifiers

Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random
  Variables

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote


The Codebase for Causal Distillation for Language Models (NAACL '22)

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Inducing Causal Structure for Interpretable Neural Networks

ReaSCAN: Compositional Reasoning in Language Grounding

Causal Distillation for Language Models


Structural variant pipeline

From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

Comprehensive structural variation genome map of individuals carrying complex chromosomal rearrangements

Replicative and non-replicative mechanisms in the formation of clustered CNVs are indicated by whole genome characterization

(-)-Epicatechin Prevents High Fat Diet-Induced Bile-Associated Intestinal Permeabilization Both In Vivo and In Vitro

Predisposition to childhood acute lymphoblastic leukemia caused by a constitutional translocation disrupting ETV6

pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing

A somatic UBA2 variant preceded ETV6-RUNX1 in the concordant BCP-ALL of monozygotic twins

Loqusdb: added value of an observations database of local genomic variation

Chromoanagenesis Event Underlies a de novo Pericentric and Multiple Paracentric Inversions in a Single Chromosome Causing Coffin–Siris Syndrome


A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task

Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures


A repository for easy segmentation using a convolutional neural network structure.

Automated Detection of Diabetic Retinopathy using Deep Learning.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Retinal Lesion Detection With Deep Learning Using Image Patches

Investigative ophthalmology & visual science

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy


Masked Autoregressive Flow

Masked Autoregressive Flow for Density Estimation

Normalizing Flows: An Introduction and Review of Current Methods

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

Mining gold from implicit models to improve likelihood-free inference

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

Transformation Autoregressive Networks

Roundtrip: A Deep Generative Neural Density Estimator

Learning deep kernels for exponential family densities

Neural Density Estimation and Likelihood-free Inference

TraDE: A Simple Self-Attention-Based Density Estimator

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations.


Create mutation signatures from MAF's, and decompose them into Stratton signatures

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

Phase and context shape the function of composite oncogenic mutations

Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering

Reversion mutations in germline BRCA1/2-mutant tumors reveal a BRCA-mediated phenotype in non-canonical histologies

Expanded genetic testing of GIST patients identifies high proportion of non-syndromic patients with germline alterations


Implementation of soft parameter sharing for neural networks

Learning Implicitly Recurrent CNNs Through Parameter Sharing

Neural Parameter Allocation Search

Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning


Breaching privacy in federated learning scenarios for vision and text

Inverting Gradients - How easy is it to break privacy in federated learning?

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

See through Gradients: Image Batch Recovery via GradInversion

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

When the Curious Abandon Honesty: Federated Learning Is Not Private

R-GAP: Recursive Gradient Attack on Privacy

Robbing the Fed: Directly Obtaining Private Data in Federated Learning
  with Modified Models

Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification

LAMP: Extracting Text from Gradients with Language Model Priors

User-Level Label Leakage from Gradients in Federated Learning


SIAN (Structural Identifiability ANalyser) is a software for assessing structural identifiability of ODE models.

SIAN: software for structural identifiability analysis of ODE models

Global Identifiability of Differential Models

Communications on pure and applied mathematics

Web-based Structural Identifiability Analyzer

SIAN: a tool for assessing structural identifiability of parametric ODEs


R package: determining cutoff values from bimodal data

Analysis of Fungal Genomes Reveals Commonalities of Intron Gain or Loss and Functions in Intron-Poor Species

Unravelling homologous recombination repair deficiency and therapeutic opportunities in soft tissue and bone sarcoma

Analysis of fungal genomes reveals commonalities of intron loss/gain and functions in intron-poor species

Rtf1-dependent transcriptional pausing regulates cardiogenesis

bioRxiv : the preprint server for biology


[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach


A Tensorflow implementation Mutual Information estimation methods

Representation Learning with Contrastive Predictive Coding

MINE: Mutual Information Neural Estimation

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization


Four Federated learning datasets for Human Activity Recognition

MobiSys - ClusterFL: a similarity-aware federated learning system for human activity recognition

International Conference on Mobile Systems, Applications, and Services

A comprehensive ultra-wideband dataset for non-cooperative contextual sensing


Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

Representation Learning for Dynamic Graphs: A Survey

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Improving Knowledge Graph Embedding Using Simple Constraints

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information

Stay Positive: Knowledge Graph Embedding Without Negative Sampling


DRIP and SLIP Landslide Detection Package

Automated Satellite-Based Landslide Identification Product for Nepal


Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples

Towards a Robust Deep Neural Network in Texts: A Survey

Towards Variable-Length Textual Adversarial Attacks

Perceptual Models of Machine-Edited Text

Meeting of the Association for Computational Linguistics


A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.

End-to-End Latent Fingerprint Search

Automatic Latent Fingerprint Segmentation

Latent Fingerprint Recognition: Role of Texture Template

A Unified Model for Fingerprint Authentication and Presentation Attack Detection


[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.

Deep Residual Learning for Image Recognition

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


Causal discovery for time series

DYNOTEARS: Structure Learning from Time-Series Data


Manifold-learning flows (ℳ-flows)

Neural Spline Flows

Flows for simultaneous manifold learning and density estimation

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

Rectangular Flows for Manifold Learning

Multi-chart flows.


Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

Variational Transformer Networks for Layout Generation

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

Deep Consensus Learning


Official code for Slot-Transformer for Videos (STEVE)

Bridging the Gap to Real-World Object-Centric Learning

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos

Object-Centric Slot Diffusion

Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities


Streamlined neural network training.

Jet flavour tagging for future colliders with fast simulation

Classify the Higgs decays with the PFN and ParticleNet at
  electron-positron colliders

Climbing four tops with graph networks, transformers and pairwise
  features


G4Hunter (2012_2015)- IECB - Bordeaux

G4Hunter web application: a web server for G-quadruplex prediction

Promoter G-quadruplexes and transcription factors cooperate to shape the cell type-specific transcriptome

Genomic patterns of transcription-replication interactions in mouse primary B cells

Abundant capped RNAs are derived from mRNA cleavage at 3’UTR G-Quadruplexes


Efficient baselines for autocurricula in JAX.

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Prioritized Level Replay

Evolving Curricula with Regret-Based Environment Design

Replay-Guided Adversarial Environment Design

minimax: Efficient Baselines for Autocurricula in JAX


DRUM end to end differentiable rule mining on knowledge graphs

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Relational Message Passing for Knowledge Graph Completion

Knowledge Graph Reasoning with Relational Digraph

Knowledge Graph Reasoning with Relational Directed Graph

An original model for multi-target learning of logical rules for
  knowledge graph reasoning

DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning


DNN quantization with outlier channel splitting

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller

Position-based Scaled Gradient for Model Quantization and Pruning

Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization

Model Compression via Position-Based Scaled Gradient


Modular meta-learning

Neural Relational Inference with Fast Modular Meta-learning

Learning Quickly to Plan Quickly Using Modular Meta-Learning

Neural Relational Inference with Efficient Message Passing Mechanisms

Modular meta-learning in abstract graph networks for combinatorial
  generalization


Repository with the code and data for all figures from Chapter 9 of the IPCC AR6


R package for forest mensuration and management


Document-Level Neural Machine Translation with Hierarchical Attention Networks

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation

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

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? :
  Evaluation Benchmarks for Discourse Phenomena in Machine Translation

Document-level Neural Machine Translation with Associated Memory Network


Based on : Yan, Jerabkova and Kroupa (2017, A&A) and Yan, Jerabkova, Kroupa and Vazdekis (2019, A&A): a Python3 module for computing the galaxy-wide initiall stellar mass function by integrating over a whole galaxy, parametrised by star formation rate and metallicity.

Impact of metallicity and star formation rate on the time-dependent, galaxy-wide stellar initial mass function

Gaia DR2 reveals a star formation burst in the disc 2-3 Gyr ago

HAL (Le Centre pour la Communication Scientifique Directe)

The optimally sampled galaxy-wide stellar initial mass function: Observational tests and the publicly available GalIMF code⋆

Chemical evolution of ultra-faint dwarf galaxies in the self-consistently calculated integrated galactic IMF theory

The most massive stars in very young star clusters with a limited mass: Evidence favours significant self-regulation in the star formation processes


Dense matching library based on PyTorch

Learning Accurate Dense Correspondences and When to Trust Them

Warp Consistency for Unsupervised Learning of Dense Correspondences

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Diffusion Model for Dense Matching


Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration

PREGO: A Literature and Data-Mining Resource to Associate Microorganisms, Biological Processes, and Environment Types

Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records


[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Self-Alignment Pretraining for Biomedical Entity Representations

Generalizing over Long Tail Concepts for Medical Term Normalization

Improving Biomedical Entity Linking with Cross-Entity Interaction

Proceedings of the AAAI Conference on Artificial Intelligence

Entity Linking over Nested Named Entities for Russian

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data

Multi-modal Graph Learning over UMLS Knowledge Graphs


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

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Label Noise Types and Their Effects on Deep Learning

SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup
  Training


A thermodynamically self-consistent mass-radius-composition calculator

The Pressure and Temperature Limits of Likely Rocky Exoplanets

Journal of geophysical research. Planets

On the Probability That a Rocky Planet’s Composition Reflects Its Host Star

The Nominal Ranges of Rocky Planet Masses, Radii, Surface Gravities, and Bulk Densities

MAGRATHEA: an open-source spherical symmetric planet interior structure code

Monthly Notices of the Royal Astronomical Society


Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

Analysis and Experimentation on the ManTraNet Image Forgery Detector

A Multi-Stream Fusion Network for Image Splicing Localization

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


This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Achieving Equalized Odds by Resampling Sensitive Attributes

Fair Adversarial Gradient Tree Boosting

Bayesian Importance of Features (BIF)


GEAR [GEnetic Analysis Repository], contact chenguobo@gmail.com;

Genomic associations with bill length and disease reveal drift and selection across island bird populations

Characterization of Genetic Diversity and Genome-Wide Association Mapping of Three Agronomic Traits in Qingke Barley (Hordeum Vulgare L.) in the Qinghai-Tibet Plateau

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Reproduction and In-Depth Evaluation of Genome-Wide Association Studies and Genome-Wide Meta-analyses Using Summary Statistics

Genetic Diversity and Selection Signatures in Synthetic-Derived Wheats and Modern Spring Wheat


Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

A ConvNet for the 2020s

Graph HyperNetworks for Neural Architecture Search

Can We Scale Transformers to Predict Parameters of Diverse ImageNet
  Models?

Pretraining a Neural Network before Knowing Its Architecture

GHN-Q: Parameter Prediction for Unseen Quantized Convolutional
  Architectures via Graph Hypernetworks


This repository includes Spine data based CT to MR image synthesis

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Deep MR to CT Synthesis using Unpaired Data

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)

DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning


Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data

International Conference on Computer Vision


Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

Grammar Variational Autoencoder

Syntax-Directed Variational Autoencoder for Structured Data

ChemTS: an efficient python library for de novo molecular generation

Science and technology of advanced materials

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

A Model to Search for Synthesizable Molecules

Improving black-box optimization in VAE latent space using decoder uncertainty

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Graph-based Molecular Representation Learning

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark


A collection of succinct data structures

From Theory to Practice: Plug and Play with Succinct Data Structures

Log(Graph): A Near-Optimal High-Performance Graph Representation

A Framework of Dynamic Data Structures for String Processing

Hypersuccinct Trees - New universal tree source codes for optimal compressed tree data structures.

Parallel Construction of Compact Planar Embeddings

Entropy Trees and Range-Minimum Queries In Optimal Average-Case Space


Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

Agent-based Graph Neural Networks

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

State of the Art and Potentialities of Graph-level Learning


Domain agnostic learning with disentangled representations

Domain Agnostic Learning with Disentangled Representations

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation


Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Graph-to-Sequence Learning using Gated Graph Neural Networks

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation


Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

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

Brain tumor segmentation with Deep Neural Networks

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

Deep segmentation networks predict survival of non-small cell lung cancer


End-to-End Speech Recognition Using Tensorflow

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Listen, Attend and Spell

On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English.


flat-sky code for cmb lensing estimators

Planck 2015 results. XV. Gravitational lensing

Institutional Repository of the University of Granada (University of Granada)

MassiveNuS: cosmological massive neutrino simulations

Journal of Cosmology and Astroparticle Physics

Parameter constraints from cross-correlation of CMB lensing with galaxy clustering

Exploring cosmic origins with CORE: Gravitational lensing of the CMB

DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

Cosmological constraints from Planck galaxy clusters with CMB lensing mass bias calibration

Monthly notices of the Royal Astronomical Society

A 2500 deg(2) CMB Lensing Map from Combined South Pole Telescope and Planck Data

Constraints on Cosmological Parameters from the 500 deg^2 SPTpol
  Lensing Power Spectrum

Dark Energy Survey Year 1 Results: tomographic cross-correlations between DES galaxies and CMB lensing from SPT+Planck

Constraining primordial non-Gaussianity using two galaxy surveys and CMB lensing


Code and pretrained models for paper: Data-Free Adversarial Distillation

Zero-shot Knowledge Transfer via Adversarial Belief Matching

Data-Free Adversarial Distillation

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded
  External Features


[CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms

Optimising Resource Management for Embedded Machine Learning


Hypergraph Neural Networks (AAAI 2019)

Hypergraph Neural Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks

Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs

A Simple Hypergraph Kernel Convolution based on Discounted Markov
  Diffusion Process


Structural Analysis and Detection of Android Malware

Learning a Neural-network-based Representation for Open Set Recognition

A multi-view context-aware approach to Android malware detection and malicious code localization

hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with
  Network Traffic and Program Code


Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


Attention is not Explanation

Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training

A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing

Revisiting Attention Weights as Explanations from an Information
  Theoretic Perspective


Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

Sorting out Lipschitz function approximation

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Generalised Lipschitz Regularisation Equals Distributional Robustness


VoiceSplit: Targeted Voice Separation by Speaker-Conditioned Spectrogram

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks

SpeechX: Neural Codec Language Model as a Versatile Speech Transformer

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models


[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

AgentBench: Evaluating LLMs as Agents

ExpeL: LLM Agents Are Experiential Learners

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL


On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space


Template-DQN and DRRN agent implementations

Interactive Fiction Games: A Colossal Adventure

ScienceWorld: Is your Agent Smarter than a 5th Grader?

Behavior Cloned Transformers are Neurosymbolic Reasoners

Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games


An Implementation of Transformer (Attention Is All You Need) in DyNet

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Selective Attention for Context-aware Neural Machine Translation

Weighted Transformer Network for Machine Translation

Improved Neural Machine Translation using Side Information

Australasian Language Technology Association Workshop

Moment Matching Training for Neural Machine Translation: A Preliminary Study.


An R package for fitting and visualising radial inverse variance weighted and radial MR-Egger models.

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression

Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

Mendelian randomization suggests a bidirectional, causal relationship between physical inactivity and adiposity

Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologies

Bayesian estimation of IVW and MR-Egger models for two-sample Mendelian randomization studies


A complete training recipe for kaldi-based Automatic Lyrics Transcription.

Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

Computational Pronunciation Analysis in Sung Utterances


A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control


The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets

Adversarial Purification through Representation Disentanglement


The Dark Sage semi-analytic model

HI constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps

Physical drivers of galaxies' cold-gas content: exploring environmental and evolutionary effects with DARK SAGE

The origin of dust in galaxies across cosmic time

Connecting and dissecting galaxies’ angular momenta and neutral gas in a hierarchical universe: cue Dark Sage

Origin of the galaxy H i size–mass relation


SpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at

Scaling K2. I. Revised Parameters for 222,088 K2 Stars and a K2 Planet Radius Valley at 1.9 R-circle plus

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

SpectRes: A Fast Spectral Resampling Tool in Python

The VANDELS survey: global properties of CIII]λ1908Å emitting star-forming galaxies at z∼3

First discovery of an ultra-cool white dwarf benchmark in common proper motion with an M dwarf

Characterization of Supernovae Based on the Spectral–Temporal Energy Distribution: Two Possible SN Ib Subtypes

The Direct-Method Oxygen Abundance of Typical Dwarf Galaxies at Cosmic
  High-Noon


Repo for our CVPR Paper: Watch your Up-Convolution: CNN Based Generative Deep Neural Networks areFailing to Reproduce Spectral Distributions

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Unmasking DeepFakes with simple Features

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection

DeepFake-o-meter: An Open Platform for DeepFake Detection

F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain


Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

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

Probing Pretrained Models of Source Code

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

CodeBPE: Investigating Subtokenization Options for Large Language Model
  Pretraining on Source Code

Limits of Machine Learning for Automatic Vulnerability Detection

A Survey on Large Language Models for Software Engineering


Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

A Simple Convolutional Generative Network for Next Item Recommendation

A Generic Network Compression Framework for Sequential Recommender Systems

Learning to Augment for Casual User Recommendation

Comprehensive Empirical Evaluation of Deep Learning Approaches for
  Session-based Recommendation in E-Commerce


Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Analyzing and Improving the Image Quality of StyleGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis


Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

The Description Length of Deep Learning Models

Is MC Dropout Bayesian?

Practical Camera Sensor Spectral Response and Uncertainty Estimation

TyXe: Pyro-based Bayesian neural nets for Pytorch


crop classification using deep learning on satellite images


The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet domain hidden Markov models and wavelet regularized deconvolution.

Two Metropolis-Hastings algorithms for posterior measures with
  non-Gaussian priors in infinite dimensions

Algorithms and software for projections onto intersections of convex and
  non-convex sets with applications to inverse problems

An interpretable MRI reconstruction network with two-grid-cycle correction and geometric prior distillation

Compressed Sensing for Scalable Robotic Tactile Skins


Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps[AAAI2021]

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

Bilinear Attention Networks

Towards VQA Models That Can Read

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


TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

GP-VAE: Deep Probabilistic Time Series Imputation

SAITS: Self-Attention-based Imputation for Time Series

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

Gradient Importance Learning for Incomplete Observations


Implementation of the xR2RML mapping language and SPARQL-to-MongoDB prototype

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

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape

Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review

The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs

The Query Translation Landscape: a Survey

ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive


R package for testing and visualizing gene list overlaps

Ustilago maydis effector Jsi1 interacts with Topless corepressor, hijacking plant jasmonate/ethylene signaling

Epigenetic reprogramming rewires transcription during the alternation of generations in Arabidopsis

Coupling of autism genes to tissue-wide expression and dysfunction of synapse, calcium signalling and transcriptional regulation

Genetically-regulated transcriptomics & copy number variation of proctitis points to altered mitochondrial and DNA repair mechanisms in individuals of European ancestry

Delineation and Modulation of the Natural Killer Cell Transcriptome in Rhesus Macaques During ZIKV and SIV Infections

Frontiers in cellular and infection microbiology

Ethanol-induced transcriptional and translational changes in Aldh1l1-Egfp/Rpl10a cortical astrocyte cultures


ICML 2018 Self-Imitation Learning

Self-Imitation Learning by Planning

Learning Self-Imitating Diverse Policies

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

Self-Imitation Learning via Generalized Lower Bound Q-learning

Simplifying Deep Reinforcement Learning via Self-Supervision

Ranking Policy Gradient

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks


Personalized federated learning codebase for research

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

MetaFed: Federated Learning among Federations with Cyclic Knowledge
  Distillation for Personalized Healthcare

FedCLIP: Fast Generalization and Personalization for CLIP in Federated
  Learning

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated
  Learning


Monitoring water quality from space!


Convolutional nets which can take molecular graphs of arbitrary size as input.

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Deep Learning on Graphs: A Survey

Artificial intelligence in drug discovery and development

Recent advances and applications of deep learning methods in materials science

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Uncertainty quantification of molecular property prediction with Bayesian neural networks.

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse
  Molecular Design

State of the Art and Potentialities of Graph-level Learning

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Uncertainty quantification of molecular property prediction using Bayesian neural network models


Commonsense Explanations Dataset and Code

Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Measuring Association Between Labels and Free-Text Rationales

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

Commonsense Evidence Generation and Injection in Reading Comprehension

MPII: Multi-Level Mutual Promotion for Inference and Interpretation

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


Distributed K-FAC Preconditioner for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Convolutional Neural Network Training with Distributed K-FAC

KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS


An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)


Snow property inversion from remote sensing (SPIReS)

Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach With Examples From MODIS and Landsat 8 OLI

IEEE transactions on geoscience and remote sensing

COVID-19 lockdowns show reduced pollution on snow and ice in the Indus River Basin

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

Evaluation of E3SM land model snow simulations over the western United States


This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

EmpHi: Generating Empathetic Responses with Human-like Intents

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

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

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

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements


R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies

Natural variation in C. elegans arsenic toxicity is explained by differences in branched chain amino acid metabolism

Natural variation in fecundity is correlated with species-wide levels of divergence in Caenorhabditis elegans


RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition


Helper scripts for processing and visualization of phylogenetics datasets

Phylogenomics reveals an extensive history of genome duplication in diatoms (Bacillariophyta)

Paralogs and off-target sequences improve phylogenetic resolution in a densely-sampled study of the breadfruit genus (Artocarpus, Moraceae)

Energy-based parameters optimization of adding storey-earthquake reduction system of multi-storey frame structure

The Deep Evolutionary Relationships of the Morphologically Heterogeneous Nolinoideae (Asparagaceae) Revealed by Transcriptome Data

Species Delimitation and Conservation in Taxonomically Challenging Lineages: The Case of Two Clades of Capurodendron (Sapotaceae) in Madagascar

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

Reassessment of Annamocarya sinesis (Carya sinensis) Taxonomy through Concatenation and Coalescence Phylogenetic Analysis

Resolving the phylogeny of Thladiantha (Cucurbitaceae) with three different target capture pipelines


Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Parametric Contrastive Learning

ResLT: Residual Learning for Long-tailed Recognition

Generalized Parametric Contrastive Learning

Region Rebalance for Long-Tailed Semantic Segmentation

Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data


An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

Multitask Prompted Training Enables Zero-Shot Task Generalization

UnifiedQA: Crossing Format Boundaries With a Single QA System

MetaICL: Learning to Learn In Context

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Large Language Models Are Latent Variable Models: Explaining and Finding
  Good Demonstrations for In-Context Learning


Symmetry Preserving Attention Networks for Event Reconstruction

SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention

Topological Reconstruction of Particle Physics Processes using Graph
  Neural Networks


TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

Graph Lifelong Learning: A Survey

Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems


ChatMed: 中文医疗大模型，善于在线回答患者/用户的日常医疗相关问题！

ChatLaw: Open-Source Legal Large Language Model with Integrated External
  Knowledge Bases

CMB: A Comprehensive Medical Benchmark in Chinese

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Overview of the PromptCBLUE Shared Task in CHIP2023

Text2MDT: Extracting Medical Decision Trees from Medical Texts

Datasets for Large Language Models: A Comprehensive Survey


[NeurIPS 2023] UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model
  Statistics


The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"

Sequence to Sequence Learning with Neural Networks

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Topic Aware Neural Response Generation

Low-Resource Knowledge-Grounded Dialogue Generation

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining

Towards Best Experiment Design for Evaluating Dialogue System Output

Open Domain Dialogue Generation with Latent Images

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation


EyeQ : Dataset of Retinal Image Quality Assessment

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II

Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement


Text-to-SQL Generation for Question Answering on Electronic Medical Records

Knowledge Graph-based Question Answering with Electronic Health Records

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

Integrating question answering and text-to-SQL in Portuguese

Uncertainty-Aware Text-to-Program for Question Answering on Structured
  Electronic Health Records

EHRAgent: Code Empowers Large Language Models for Complex Tabular
  Reasoning on Electronic Health Records


emoji2vec: Learning Emoji Representations from their Description

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media

Recent Advances in Natural Language Processing

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

DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning

Empirical Methods in Natural Language Processing

Pay attention to emoji: Feature Fusion Network with EmoGraph2vec Model for Sentiment Analysis

Emoji-aware Co-attention Network with EmoGraph2vec Model for Sentiment Anaylsis

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification

DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection

International Workshop on Semantic Evaluation


Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane


Why do tree-based models still outperform deep learning on tabular data?

Why do tree-based models still outperform deep learning on typical tabular data?

Mechanism of feature learning in deep fully connected networks and
  kernel machines that recursively learn features

Trompt: Towards a Better Deep Neural Network for Tabular Data


Learning node representation using edge semantics

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling

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


Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer.

METEOR Guided Divergence for Video Captioning

SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning
  with Human Object Interactions


Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

Learning on Large-scale Text-attributed Graphs via Variational Inference

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning


This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Shape Robust Text Detection with Progressive Scale Expansion Network

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

Scene Text Detection and Recognition: The Deep Learning Era

Curved scene text detection via transverse and longitudinal sequence connection

Detecting Curve Text in the Wild: New Dataset and New Solution

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

Text Recognition in the Wild: A Survey

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


Solar Panel Detection (Turing Climate Action Call)


Offical Implementation for PalmTree

PalmTree: Learning an Assembly Language Model for Instruction Embedding

Conference on Computer and Communications Security

XFL: Naming Functions in Binaries with Extreme Multi-label Learning

UniASM: Binary Code Similarity Detection without Fine-tuning


Singularity image for cryo-CARE

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data

Content-aware image restoration for electron microscopy.

A Deep Learning Method for Simultaneous Denoising and Missing Wedge
  Reconstruction in Cryogenic Electron Tomography


A high-performance Atari A3C agent in 180 lines of PyTorch

Self-Net: Lifelong Learning via Continual Self-Modeling

Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking

Learning rewards from exploratory demonstrations using probabilistic temporal ranking

The Impact of Negative Sampling on Contrastive Structured World Models

Learning to Identify Critical States for Reinforcement Learning from Videos


Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack


【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?


Code for coreset selection methods

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

Data pruning and neural scaling laws: fundamental limitations of
  score-based algorithms


This repo is DEPRECATED. Please use minimap2, the successor of minimap.

Nanopore sequencing and assembly of a human genome with ultra-long reads

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

FMLRC: Hybrid long read error correction using an FM-index

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

Technology dictates algorithms: Recent developments in read alignment

Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm
  Co-Design

GALA: a computational framework for de novo chromosome-by-chromosome assembly with long reads

Computer Architecture-Aware Optimisation of DNA Analysis Systems


Molecular standardisation tool

Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks

Journal of chemical information and modeling

Predicting drug-induced liver injury: The importance of data curation

KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images

Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

eTOXlab, an open source modeling framework for implementing predictive models in production environments

The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives

Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports

A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors

Allosteric Binders of ACE2 Are Promising Anti-SARS-CoV-2 Agents

bioRxiv : the preprint server for biology


An Enhanced OpenMP Library

OpenMP Loop Scheduling Revisited: Making a Case for More Schedules

A Probabilistic Machine Learning Approach to Scheduling Parallel Loops With Bayesian Optimization

IEEE transactions on parallel and distributed systems

Toward a Standard Interface for User-Defined Scheduling in OpenMP

Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach


Scene Text Visual Question Answering

Hierarchical multimodal transformers for Multi-Page DocVQA

Document Understanding Dataset and Evaluation (DUDE)


SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning


[ICCV 2021] Target Adaptive Context Aggregation for Video Scene Graph Generation

Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs

Graphical Contrastive Losses for Scene Graph Parsing


Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and
  Fusing Fine-Grained Voice Fragments With Attention

S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

Robust universal neural vocoding

Retriever: Learning Content-Style Representation as a Token-Level
  Bipartite Graph

Training Robust Zero-Shot Voice Conversion Models with Self-supervised
  Features

Data Augmentation for Dementia Detection in Spoken Language

Multi-level Temporal-channel Speaker Retrieval for Robust Zero-shot
  Voice Conversion


Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

Introduction to Camera Pose Estimation with Deep Learning


Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Equivariant Contrastive Learning

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

ESCL: Equivariant Self-Contrastive Learning for Sentence Representations


Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]

Egocentric Video-Language Pretraining

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot
  Video Understanding Tasks

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance
  Retrieval Challenge 2022


A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

Conformer: Convolution-augmented Transformer for Speech Recognition

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Long-Short Transformer: Efficient Transformers for Language and Vision

Fastformer: Additive Attention Can Be All You Need

One TTS Alignment To Rule Them All

DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech


An OpenFOAM solver  for Boltzmann model equation using discrete unified gas kinetic scheme

Discrete unified gas kinetic scheme for all Knudsen number flows: Low-speed isothermal case

Physical review. E, Statistical, nonlinear, and soft matter physics

Discrete unified gas kinetic scheme for all Knudsen number flows. II. Thermal compressible case

Radiometric flow in periodically patterned channels: fluid physics and improved configurations

A unified implicit scheme for kinetic model equations. Part I. Memory reduction technique

Numerical study of nonequilibrium gas flow in a microchannel with a ratchet surface


Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Stochastic Multiple Target Sampling Gradient Descent

Revisiting Scalarization in Multi-Task Learning: A Theoretical
  Perspective

Differentiable Random Partition Models


iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Vocos: Closing the gap between time-domain and Fourier-based neural
  vocoders for high-quality audio synthesis

APNet: An All-Frame-Level Neural Vocoder Incorporating Direct Prediction of Amplitude and Phase Spectra

APNet2: High-quality and High-efficiency Neural Vocoder with Direct
  Prediction of Amplitude and Phase Spectra


Contrastive Learning of Structured World Models

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Better Set Representations For Relational Reasoning

The Impact of Negative Sampling on Contrastive Structured World Models


SingleCellNet: classify single cells across species and platforms

Gene Regulatory Network Analysis and Engineering Directs Development and Vascularization of Multilineage Human Liver Organoids

Computational methods for the integrative analysis of single-cell data

Leveraging the Cell Ontology to classify unseen cell types

scMAGIC: accurately annotating single cells using two rounds of reference-based classification

Single-Cell Transcriptomic Census of Endothelial Changes Induced by Matrix Stiffness and the Association with Atherosclerosis

A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data


A corpus of Biomedical papers annotated with mentions of UMLS entities.

MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Knowledge-Rich Self-Supervision for Biomedical Entity Linking

Recognizing UMLS Semantic Types with Deep Learning

A survey on recent advances in named entity recognition

BELB: a Biomedical Entity Linking Benchmark

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


Official implementation of MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (https://arxiv.org/abs/2205.09853)

Pseudo Numerical Methods for Diffusion Models on Manifolds

Non Gaussian Denoising Diffusion Models

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Physion++: Evaluating Physical Scene Understanding that Requires Online
  Inference of Different Physical Properties

A Control-Centric Benchmark for Video Prediction


A tool to extract and visualize the results of CAFE (Computational Analysis of gene Family Evolution)

Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation

The Genome of the Mimosoid Legume Prosopis cineraria, a Desert Tree

International journal of molecular sciences

High-Quality de novo Chromosome-Level Genome Assembly of a Single Bombyx mori With BmNPV Resistance by a Combination of PacBio Long-Read Sequencing, Illumina Short-Read Sequencing, and Hi-C Sequencing


Universal Romanizer that can convert any unicode script to roman (latin) script

Transliteration for Cross-Lingual Morphological Inflection

Special Interest Group on Computational Morphology and Phonology Workshop

On Romanization for Model Transfer Between Scripts in Neural Machine Translation

Romanization-based Large-scale Adaptation of Multilingual Language Models

Toxicity Detection for Indic Multilingual Social Media Content

Criteria for Useful Automatic Romanization in South Asian Languages

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Torrent Mapping Alignment Program

Characterizing and measuring bias in sequence data

A Cell-Intrinsic Interferon-like Response Links Replication Stress to Cellular Aging Caused by Progerin

Comparison of mapping algorithms used in high-throughput sequencing: application to Ion Torrent data

ALK FISH patterns and the detection of ALK fusions by next generation sequencing in lung adenocarcinoma

Elucidation of the molecular responses to waterlogging in Jatropha roots by transcriptome profiling

Comparative Transcriptome Analysis of Resistant and Susceptible Common Bean Genotypes in Response to Soybean Cyst Nematode Infection

Drosophila Nipped-B Mutants Model Cornelia de Lange Syndrome in Growth and Behavior

Genetic Markers for Western Corn Rootworm Resistance to Bt Toxin

Evaluation of an integrated clinical workflow for targeted next-generation sequencing of low-quality tumor DNA using a 51-gene enrichment panel

Biofilm formation by virulent and non-virulent strains of Haemophilus parasuis


A Pytorch implementation of DeepCrack and RoadNet projects.

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors

Weakly-Supervised Crack Detection

TrueDeep: A systematic approach of crack detection with less data


Python implementation of performance metrics in Loizou's Speech Enhancement book

Universal Speech Enhancement with Score-based Diffusion

Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

Extending Audio Masked Autoencoders Toward Audio Restoration

Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source

Recycling an anechoic pre-trained speech separation deep neural network
  for binaural dereverberation of a single source


Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Cluster Contrast for Unsupervised Person Re-Identification

Dual Cluster Contrastive learning for Object Re-Identification

Relation-Based Deep Attention Network with Hybrid Memory for One-Shot Person Re-Identification


DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

Object Detection from Scratch with Deep Supervision


Official Repository for Anti-UAV

Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking

Evidential Detection and Tracking Collaboration: New Problem, Benchmark
  and Algorithm for Robust Anti-UAV System


Personalizing Dialogue Agents via Meta-Learning

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation


Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"

Score-Based Generative Modeling through Stochastic Differential Equations

Robust Compressed Sensing MRI with Deep Generative Priors

Unsupervised Polychromatic Neural Representation for CT Metal Artifact
  Reduction


Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Unsupervised Object Learning via Common Fate

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation


Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)

Making targeted black-box evasion attacks effective and efficient

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving.

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

Chinese NER Using Lattice LSTM

A Lexicon-Based Graph Neural Network for Chinese NER

Simplify the Usage of Lexicon in Chinese NER

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Spatio-Temporal Information Extraction and Geoparsing for Public Chinese Resumes

ISPRS international journal of geo-information

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity


The CIS OCR PostCorrectionTool

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus

Profiling of OCR'ed Historical Texts Revisited

@PhilosTEI: Building Corpora for Philosophers


Explore and share your scRNAseq clustering results

Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling

scClustViz – Single-cell RNAseq cluster assessment and visualization


Keras implementation for Deep Embedding Clustering (DEC)

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

Zenodo (CERN European Organization for Nuclear Research)

Deep Kernel Learning for Clustering

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Leveraging tensor kernels to reduce objective function mismatch in deep clustering


MixVPR: Feature Mixing for Visual Place Recognition (WACV 2023)

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

Optimal Transport Aggregation for Visual Place Recognition

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


Universal adversarial perturbations

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Art of singular vectors and universal adversarial perturbations


Mock spatially resolved spectral line observations of simulated galaxies.

Off the Baryonic Tully–Fisher Relation: A Population of Baryon-dominated Ultra-diffuse Galaxies

Robust H i kinematics of gas-rich ultra-diffuse galaxies: hints of a weak-feedback formation scenario

Monthly notices of the Royal Astronomical Society

The H I velocity function: a test of cosmology or baryon physics?

Monthly Notices of the Royal Astronomical Society

The redshift evolution of the baryonic Tully-Fisher relation in SIMBA

The diversity of rotation curves of simulated galaxies with cusps and cores

Using EAGLE simulations to study the effect of observational constraints
  on the determination of HI asymmetries in galaxies

A comparison of the baryonic Tully–Fisher relation in MaNGA and IllustrisTNG

ASymba: HI global profile asymmetries in the Simba simulation


92.45% on CIFAR-10 in Torch

Learning Efficient Convolutional Networks through Network Slimming

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Asynchronous Decentralized Parallel Stochastic Gradient Descent

Learn To Pay Attention

Contextual Explanation Networks

Filter Distillation for Network Compression

Disentangling Adaptive Gradient Methods from Learning Rates

Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation

GaDei: On Scale-up Training As A Service For Deep Learning

Improving Network Slimming with Nonconvex Regularization


Deep Reinforcement Learning For Sequence to Sequence Models

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation


Generate C code for microcontrollers from Python's sklearn classifiers

DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

TinyML Platforms Benchmarking

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

Computers, materials & continua/Computers, materials & continua (Print)


Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery


Manual extraction of JWST NIRSpec spectra

Early Results from GLASS-JWST. XIV. A Spectroscopically Confirmed Protocluster 650 Million Years after the Big Bang

The nature of an ultra-faint galaxy in the cosmic Dark Ages seen with
  JWST

Closing in on the sources of cosmic reionization: first results from the
  GLASS-JWST program

Early Results from GLASS-JWST. XXI: Rapid assembly of a galaxy at z=6.23
  revealed by its C/O abundance

An Extremely Compact, Low-mass Galaxy on its Way to Quiescence at z = 5.2

JWST NIRSpec spectroscopy of the triply-lensed z = 10.17 galaxy
  MACS0647-JD

Extreme N-emitters at high redshift: Possible signatures of supermassive stars and globular cluster or black hole formation in action

The Puzzling Properties of the MACS1149-JD1 Galaxy at z = 9.11

A massive interacting galaxy 525 million years after the Big Bang

Early Results from GLASS-JWST XXII: Rest frame UV-optical spectral
  properties of Lyman-alpha emitting galaxies at 3 < z < 6


English word segmentation, written in pure-Python, and based on a trillion-word corpus.

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

North American Chapter of the Association for Computational Linguistics

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

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection

Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages

International Conference on Computational Linguistics

LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification

GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection

PGSG at SemEval-2020 Task 12: BERT-LSTM with Tweets’ Pretrained Model and Noisy Student Training Method

International Workshop on Semantic Evaluation

IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features

Empirical Methods in Natural Language Processing

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs


A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Learning to Navigate in Cities Without a Map

TorchBeast: A PyTorch Platform for Distributed RL

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning


ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram

Mutation of the imprinted gene OsEMF2a induces autonomous endosperm development and delayed cellularization in rice

Diversity in Metabolites and Fruit Quality Traits in Blueberry Enables Ploidy and Species Differentiation and Establishes a Strategy for Future Genetic Studies

Biocontrol Traits Correlate With Resistance to Predation by Protists in Soil Pseudomonads

Plasma-Derived Extracellular Vesicles Convey Protein Signatures That Reflect Pathophysiology in Lung and Pancreatic Adenocarcinomas

Cover crop-driven shifts in soil microbial communities could modulate early tomato biomass via plant-soil feedbacks

Calcitriol Promotes Differentiation of Glioma Stem-Like Cells and Increases Their Susceptibility to Temozolomide

Analysis of Tick Surface Decontamination Methods

Tobacco Hornworm (Manduca sexta) caterpillars as a novel host model for the study of fungal virulence and drug efficacy

Inhibition of p38 signaling curtails the SARS-CoV-2 induced inflammatory response but retains the IFN-dependent antiviral defense of the lung epithelial barrier


Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine
  Translation

DePA: Improving Non-autoregressive Machine Translation with
  Dependency-Aware Decoder


Sparse learning library and sparse momentum resources.

Sparse Networks from Scratch: Faster Training without Losing Performance

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations


offical seesawfacenet pytorch implement,  https://arxiv.org/abs/1908.09124

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

SeesawFaceNets: sparse and robust face verification model for mobile platform


Implementation of the DeepVesselNet deep learning network

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes

Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)

Modeling and hexahedral meshing of cerebral arterial networks from centerlines


GRTensorIII package for Maple

Computer algebra in gravity research

Coulombic contribution to angular momentum flux in general relativity

Testing gravity with black hole shadow subrings

Symbolic tensor calculus on manifolds: a SageMath implementation

A semi-tetrad decomposition of the Kerr spacetime

Spacetimes with a vanishing second Ricci invariant

Pytearcat: PYthon TEnsor AlgebRa calCulATor A python package for general relativity and tensor calculus

Quasilocal energy of a rotating object described by Kerr spacetime

Israel coordinates for all static spherically symmetric spacetimes with vanishing second Ricci invariant

Does a Nash theory of gravity make dark energy superfluous


Identifying and removing near-duplicate images using perceptual hashing.

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild.

CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication


Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920

Improving Entity Linking by Modeling Latent Relations between Mentions

Neural Entity Linking: A Survey of Models Based on Deep Learning

Improving Entity Linking by Modeling Latent Entity Type Information

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation

Linking Named Entities across Languages using Multilingual Word Embeddings


Graphonomy: Universal Human Parsing via Graph Transfer Learning

Fashion Meets Computer Vision: A Survey

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer


Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

ImageNet-21K Pretraining for the Masses

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

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

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained
  Vision-Language Model

A Unified and Biologically-Plausible Relational Graph Representation of
  Vision Transformers


A framework to learn cross-lingual word embedding mappings

Unsupervised Neural Machine Translation

A Survey of Cross-lingual Word Embedding Models

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Unsupervised Statistical Machine Translation

Probing Pretrained Language Models for Lexical Semantics

An Effective Approach to Unsupervised Machine Translation

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach


This repo hosts the code and models of "Masked Autoencoders that Listen".

Masked Autoencoders that Listen

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining

Global birdsong embeddings enable superior transfer learning for bioacoustic classification


Heterogeneous information network representation learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Recent Advances in Network-based Methods for Disease Gene Prediction

Network representation learning systematic review: ancestors and current development state

HetIG-PreDiG: A Heterogeneous Integrated Graph Model for Predicting Human Disease Genes based on gene expression


DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

Auditory deep sleep stimulation in older adults at home: a randomized crossover trial

Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG

Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms


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

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open
  Resources

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Don't Make Your LLM an Evaluation Benchmark Cheater

Structured Chain-of-Thought Prompting for Code Generation

TheoremQA: A Theorem-driven Question Answering dataset

OctoPack: Instruction Tuning Code Large Language Models


Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Towards the Detection of Diffusion Model Deepfakes

CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning

DeepFake-o-meter: An Open Platform for DeepFake Detection

Detection of GAN-Synthesized Image Based on Discrete Wavelet Transform

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

On the detection of morphing attacks generated by GANs


Code release for SLIP Self-supervision meets Language-Image Pre-training

SLIP: Self-supervision meets Language-Image Pre-training

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model
  Pretraining

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

Contrastive language and vision learning of general fashion concepts

Hyperbolic Image-Text Representations

Attentive Mask CLIP

Effective Robustness against Natural Distribution Shifts for Models with
  Different Training Data

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

Boosting Visual-Language Models by Exploiting Hard Samples

Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining


Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification


An application to visualize scholar articles as an interactive graph

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

IEEE transactions on biomedical circuits and systems

HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition

IEEE transactions on pattern analysis and machine intelligence

EMVS: Event-Based Multi-View Stereo—3D Reconstruction with an Event Camera in Real-Time

International journal of computer vision

An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

A Motion-Based Feature for Event-Based Pattern Recognition

Event-Based Stereo Depth Estimation Using Belief Propagation

Invariant feature extraction from event based stimuli


Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Learning Off-Policy with Online Planning

On-Policy Model Errors in Reinforcement Learning

Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on
  Analyses of Interestingness


Class Activation Mapping

Learning Deep Features for Discriminative Localization

Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

Viraliency: Pooling Local Virality

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion.

How explainable are adversarially-robust CNNs?

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias


Use deep learning to generate and harmonize music in the style of Bach

Deep Learning Techniques for Music Generation -- A Survey

When Creators Meet the Metaverse: A Survey on Computational Arts

Am I (Deep) Blue? Music-Making AI and Emotional Awareness

A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks


Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Objects are Different: Flexible Monocular 3D Object Detection

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection


A module for normalising text.

Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining

A Text Normalisation System for Non-Standard English Words

Towards Semi-Supervised Semantics Understanding from Speech


Vision-and-Language Navigation in Continuous Environments using Habitat

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

GAUDI: A Neural Architect for Immersive 3D Scene Generation

Waypoint Models for Instruction-guided Navigation in Continuous Environments

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments


An ultrafast tool for genome-wide survey of microsatellites and primer design

De Novo Transcriptome Profiling for the Generation and Validation of Microsatellite Markers, Transcription Factors, and Database Development for Andrographis paniculata

International journal of molecular sciences


FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

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

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

Fast High-Dimensional Bilateral and Nonlocal Means Filtering

Blind Inverse Gamma Correction with Maximized Differential Entropy

Denoising single images by feature ensemble revisited

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature
  Denoiser


Ground-Water Hydrograph Analysis Toolbox


Long read / genome alignment software

Weighted minimizer sampling improves long read mapping

Long-read mapping to repetitive reference sequences using Winnowmap2

A long read mapping method for highly repetitive reference sequences


BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

Towards String-to-Tree Neural Machine Translation

Towards Topic-to-Question Generation

International Conference on Computational Logic

RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy

Chemical-induced disease relation extraction with various linguistic features

Database : the journal of biological databases and curation

Event Extraction as Dependency Parsing for BioNLP 2011

Meeting of the Association for Computational Linguistics

Multi-Predicate Semantic Role Labeling

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

Self-Training for Parsing Learner Text

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022

Parsing Paraphrases with Joint Inference

The Association for Computational Linguistics


This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Datamodels: Predicting Predictions from Training Data

Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation

A Unified Framework for Task-Driven Data Quality Management

Sample based Explanations via Generalized Representers


Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Reducing Domain Gap by Reducing Style Bias

Generalizing to unseen domains via distribution matching

Self-Supervised Domain Adaptation for Computer Vision Tasks

Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation

Accurate prediction of molecular targets using a self-supervised image representation learning framework

Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization