TensorFlow's Visualization Toolkit

NiftyNet: a deep-learning platform for medical imaging

Computer methods and programs in biomedicine

fairseq S2T: Fast Speech-to-Text Modeling with fairseq

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

The Grammar of Interactive Explanatory Model Analysis

Measuring Model Biases in the Absence of Ground Truth

National Conference on Artificial Intelligence

Query Processing on Tensor Computation Runtimes

PyText: A Seamless Path from NLP research to production

Learning-Driven Exploration for Reinforcement Learning

GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data


Integrate cutting-edge LLM technology quickly and easily into your apps

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

TaskWeaver: A Code-First Agent Framework

Misusing Tools in Large Language Models With Visual Adversarial Examples

Prompting Frameworks for Large Language Models: A Survey

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

PromptBench: A Unified Library for Evaluation of Large Language Models


The Julia Programming Language

Julia: A Fresh Approach to Numerical Computing

Array Operators Using Multiple Dispatch

Quality gatekeepers: investigating the effects of code review bots on pull request activities

Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes

Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof

Productivity meets Performance: Julia on A64FX

Koopman Spectrum Nonlinear Regulator and Provably Efficient Online
  Learning

Backports

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

ComPile: A Large IR Dataset from Production Sources

Clinical Characteristics and Management of Angioedema Attacks in Polish Adult Patients with Hereditary Angioedema Due to C1-Inhibitor Deficiency


FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Software-hardware co-design for fast and scalable training of deep learning recommendation models

Scaling Up Online Speech Recognition Using ConvNets

RecShard: statistical feature-based memory optimization for industry-scale neural recommendation

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks

WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic

BiQGEMM: Matrix Multiplication with Lookup Table for Binary-Coding-Based Quantized DNNs

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Workshop on Neural Generation and Translation


JavaScript player library / DASH & HLS client / MSE-EME player

Internet-Scale Video Streaming over NDN

Evaluation of the Performance of Adaptive HTTP Streaming Systems

The simulation study on the multipath adaptive video transmission

Looney Tunes: Exposing the Lack of DRM Protection in Indian Music
  Streaming Services

Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and
  Data Savings Strategies


Ethereum consensus client in Rust

Resource Analysis of Ethereum 2.0 Clients

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Security Review of Ethereum Beacon Clients


UNIX-like reverse engineering framework and command-line toolset

SAFE: Self-Attentive Function Embeddings for Binary Similarity

FirmUSB: Vetting USB Device Firmware using Domain Informed Symbolic Execution

Conference on Computer and Communications Security

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask

Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis

Speculation Invariance (InvarSpec): Faster Safe Execution Through Program Analysis

IoT Malware Analysis Using Federated Learning: A Comprehensive Survey

Towards Generic Deobfuscation of Windows API Calls

Same File, Different Changes: The Potential of Meta-Maintenance on GitHub


LSD-SLAM

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments

Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Common Data Fusion Framework: An open-source Common Data Fusion Framework for space robotics

International journal of advanced robotic systems


Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Dynamic Matrix Factorization with Priors on Unknown Values

Fast Matrix Factorization With Nonuniform Weights on Missing Data

LSTM Networks for Online Cross-Network Recommendations


A fork of the Egret parser that fixes a few bugs

Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015

Forest-to-String SMT for Asian Language Translation: NAIST at WAT 2014

Towards High-Reliability Speech Translation in the Medical Domain


Protein-protein binding affinity benchmark

On the binding affinity of macromolecular interactions: daring to ask why proteins interact

Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Structural Systems According to the Mathematical Theory of Fractals

Protein science : a publication of the Protein Society

Proteins Feel More Than They See: Fine-Tuning of Binding Affinity by Properties of the Non-Interacting Surface

Molecular origins of binding affinity: seeking the Archimedean point.

HADDOCK(2P2I): a biophysical model for predicting the binding affinity of protein-protein interaction inhibitors.

Journal of chemical information and modeling


Ruby gem for finding citations of open scientific code

marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R

Spatial and Temporal Trends of Global Pollination Benefit

Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy

Effectiveness of a Safe Routes to School Program in Preventing School-Aged Pedestrian Injury

Genome-Wide Association Study of Lp-PLA2 Activity and Mass in the Framingham Heart Study

Advances in Linking Wintering Migrant Birds to Their Breeding-Ground Origins Using Combined Analyses of Genetic and Stable Isotope Markers

A Geospatial Modelling Approach Integrating Archaeobotany and Genetics to Trace the Origin and Dispersal of Domesticated Plants

Assessing Species Distribution Using Google Street View: A Pilot Study with the Pine Processionary Moth

Etiology and Audiological Outcomes at 3 Years for 364 Children in Australia

Mapping Reef Fish and the Seascape: Using Acoustics and Spatial Modeling to Guide Coastal Management


Infrastructure useful to create natural language processing systems based on transformer networks

Attention Is All You Need

A BERT Baseline for the Natural Questions

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering


Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis

IACR transactions on cryptographic hardware and embedded systems

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis

An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization

Conditional Variational AutoEncoder based on Stochastic Attacks


Count number of mapped reads per reference in SAM files (often for RNA-Seq experiments)

Infection Strategies Deployed by Botrytis cinerea, Fusarium acuminatum, and Rhizopus stolonifer as a Function of Tomato Fruit Ripening Stage

Dual functionality of the amyloid protein TasA in Bacillus physiology and fitness on the phylloplane

RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias

Host susceptibility factors render ripe tomato fruit vulnerable to fungal disease despite active immune responses

Bacillus subtilis biofilm matrix components target seed oil bodies to promote growth and anti-fungal resistance in melon

The role of T cell subsets in the airways in asthma

Comparative transcriptome analysis of the wild-type model apomict Hieracium praealtum and its loss of parthenogenesis (lop) mutant

Single and Double Mutations in Tomato Ripening Transcription Factors Have Distinct Effects on Fruit Development and Quality Traits

Small RNA Deep Sequencing Identifies a Unique miRNA Signature Released in Serum Exosomes in a Mouse Model of Sjögren's Syndrome

Identification of Metabolic Pathways Differentially Regulated in Somatic and Zygotic Embryos of Maritime Pine


[UNMAINTAINED] Point spread function modeling tool

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in astronomy and space sciences

A new strategy for matching observed and simulated lensing galaxies

Monthly notices of the Royal Astronomical Society


Official PyTorch implementation of "Learning with Memory-based Virtual Classes for Deep Metric Learning" (ICCV 2021)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning


Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria

Assembly by Reduced Complexity (ARC): a hybrid approach for targeted assembly of homologous sequences.

Abundant Genetic Diversity of Yunling Cattle Based on Mitochondrial Genome

Animals : an open access journal from MDPI

Ancient DNA Resolves the History of Tetragnatha (Araneae, Tetragnathidae) Spiders on Rapa Nui

Ancient DNA from a 2,700-year-old goitered gazelle (Gazella subgutturosa) confirms gazelle hunting in Iron Age Central Asia

Genomic analyses of Asiatic Mouflon in Iran provide insights into the domestication and evolution of sheep


Revisiting Peng's Q(lambda) for Modern Reinforcement Learning

Addressing Function Approximation Error in Actor-Critic Methods

Rainbow: Combining Improvements in Deep Reinforcement Learning

Safe and Efficient Off-Policy Reinforcement Learning


A GPU accelerated branch of presto, open source pulsar search and analysis toolkit. http://www.cv.nrao.edu/~sransom/presto/

Enabling pulsar and fast transient searches using coherent dedispersion

Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm

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

Monthly Notices of the Royal Astronomical Society

Discoveries and timing of pulsars in NGC 6440

A GPU implementation of the harmonic sum algorithm


Computationally friendly hyper-parameter search with DP-SGD

TAN Without a Burn: Scaling Laws of DP-SGD

Differentially Private Image Classification by Learning Priors from
  Random Processes


IGCV3 reimplement by pytorch

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Interleaved Group Convolutions for Deep Neural Networks

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks

IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks


PDF Structure and Syntactic Analysis for Metadata Extraction and Tagging - https://code.google.com/p/pdfssa4met/

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

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

A Hybrid Approach and Unified Framework for Bibliographic Reference Extraction

DeepBiRD: An Automatic Bibliographic Reference Detection Approach.

Structured references from PDF articles: assessing the tools for
  bibliographic reference extraction and parsing


This is a repository of the study performed under the Adversarial Paraphrasing Task (APT).

The Curious Case of Neural Text Degeneration

Hierarchical Neural Story Generation

Improving Paraphrase Detection with the Adversarial Paraphrasing Task


Domain Aggregation Networks

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers

Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation

Learning to Transfer with von Neumann Conditional Divergence


The code of GDCN

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models
  by Instance-Guided Mask

Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction


MACER: MAximizing CErtified Radius (ICLR 2020)

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Consistency Regularization for Certified Robustness of Smoothed Classifiers

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Data-Dependent Randomized Smoothing


Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Altschuler, Jonathan Weed, and Philippe Rigollet. Full paper available at: https://papers.nips.cc/paper/6792-near-linear-time-approximation-algorithms-for-optimal-transport-via-sinkhorn-iteration.

Screening Sinkhorn Algorithm for Regularized Optimal Transport

A Graph Theoretic Additive Approximation of Optimal Transport

Optimal Transport for Stationary Markov Chains via Policy Iteration


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


Caltech UCSD Binary Annotation Model (CUBAM)

Near-Optimally Teaching the Crowd to Classify

OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking

Accurate inference of crowdsourcing properties when using efficient allocation strategies

Efficient crowdsourcing of crowd-generated microtasks


[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning.

Offline RL With Realistic Datasets: Heteroskedasticity and Support
  Constraints

Accelerating Exploration with Unlabeled Prior Data


Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

Pixel Recurrent Neural Networks

Conditional Image Generation with PixelCNN Decoders

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

PixelSNAIL: An Improved Autoregressive Generative Model


Text classification using deep learning models in Pytorch

Convolutional Neural Networks for Sentence Classification

A Structured Self-attentive Sentence Embedding

Semi-Supervised Multi-aspect Detection of Misinformation using
  Hierarchical Joint Decomposition

Identifying Misinformation from Website Screenshots

ABI neural ensemble model for gender prediction adapt Bar-ilan submission for the Clin29 shared task on gender prediction


Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Stochastic Iterative Graph Matching

Unsupervised Manifold Alignment with Joint Multidimensional Scaling


Recycling diverse models

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Recognition in Terra Incognita

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Diverse Weight Averaging for Out-of-Distribution Generalization

Fusing finetuned models for better pretraining

Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization


Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

Bayesian Optimization over Hybrid Spaces

Black-box combinatorial optimization using models with integer-valued minima

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

Bayesian Optimization over High-Dimensional Combinatorial Spaces via
  Dictionary-based Embeddings

Mixed Variable Bayesian Optimization with Frequency Modulated Kernels

CircuitBot: Learning to Survive with Robotic Circuit Drawing

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals


Code release for "Improved baselines for vision-language pre-training"

Learning Transferable Visual Models From Natural Language Supervision

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ClimateNet: an expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding


Learning Adversarially Fair and Transferable Representations

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

Learning fair representation with a parametric integral probability metric

Learning Fair Rule Lists


Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence

Breaking the Closed World Assumption in Text Classification

North American Chapter of the Association for Computational Linguistics

Open-world Machine Learning: Applications, Challenges, and Opportunities

Collective Decision for Open Set Recognition

IEEE transactions on knowledge and data engineering

Open Set Domain Adaptation using Optimal Transport


A deepfake detector that provides 35 different deepfake detection methods.

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Exposing Deep Fakes Using Inconsistent Head Poses

The DeepFake Detection Challenge (DFDC) Dataset

DeepFakes: a New Threat to Face Recognition? Assessment and Detection


DAGGEN: A synthethic task graph generator

A Comparison of Random Task Graph Generation Methods for Scheduling Problems

Limited Duplication-Based List Scheduling Algorithm for Heterogeneous Computing System

An improved Monte Carlo Tree Search approach to workflow scheduling


This is a repository of vendor-agnostic workflows provided for those interested in deploying Security Orchestration, Automation, and Response capabilities within their organizations.

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange


A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.

Adam: A Method for Stochastic Optimization

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Simple random search provides a competitive approach to reinforcement learning

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution


Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

A Review of Text Style Transfer using Deep Learning

IEEE transactions on artificial intelligence

A Comprehensive Survey of Natural Language Generation Advances from the
  Perspective of Digital Deception


[ACL 2021] Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"


DisCo Transformer for Non-autoregressive MT

Parallel Machine Translation with Disentangled Context Transformer

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

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

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

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

Dynamic and Efficient Inference for Text Generation via BERT Family

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


The StarCraft Multi-Agent Challenge

FACMAC: Factored Multi-Agent Centralised Policy Gradients

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared
  State Representation and Individual Policy Representation

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a
  Bayesian Game


Understanding Deep Networks via Extremal Perturbations and Smooth Masks

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Towards Better Explanations of Class Activation Mapping

Explaining Image Classifiers using Statistical Fault Localization

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

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

How explainable are adversarially-robust CNNs?

Opti-CAM: Optimizing saliency maps for interpretability

Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance


Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Text as Neural Operator:Image Manipulation by Text Instruction

LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Gradient conjugate priors and multi-layer neural networks

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty


CUDD: CU Decision Diagram package - unofficial git mirror of https://web.archive.org/web/20180127051756/http://vlsi.colorado.edu/~fabio/CUDD/html/index.html (intro: https://web.archive.org/web/20150215010018/http://vlsi.colorado.edu/~fabio/CUDD/cuddIntro.html)

The Probabilistic Model Checker Storm

DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees

MAP Inference for Probabilistic Logic Programming

Theory and practice of logic programming

Solving Bitvectors with MCSAT: Explanations from Bits and Pieces

Parametric Verification: An Introduction

Transactions on Petri Nets and Other Models of Concurrency XIV

Core Challenge 2022: Solver and Graph Descriptions

Symbolic Search for Optimal Planning with Expressive Extensions

On Deciding Feature Membership in Explanations of SDD & Related
  Classifiers


Audio Visual Instance Discrimination with Cross-Modal Agreement

Audio-Visual Instance Discrimination with Cross-Modal Agreement

Robust Contrastive Learning against Noisy Views

Self-supervised video pretraining yields human-aligned visual
  representations


Implementation of some deep learning algorithms.

Deep learning for neuroimaging: a validation study

A deep learning framework for modeling structural features of RNA-binding protein targets

CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network

Input Warping for Bayesian Optimization of Non-stationary Functions

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

A General Framework for Constrained Bayesian Optimization using Information-based Search

Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Hierarchical Spatio-Temporal Modeling of Naturalistic Functional Magnetic Resonance Imaging Signals via Two-Stage Deep Belief Network With Neural Architecture Search


Hooks for VCOCO

Visual Semantic Role Labeling

Detecting Visual Relationships Using Box Attention

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation
  Learning

Classifying All Interacting Pairs in a Single Shot


Progressive Transformer-Based Generation of Radiology Reports

Evaluating progress in automatic chest X-ray radiology report generation

Improving Chest X-Ray Report Generation by Leveraging Warm Starting

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives


Efficient Online Reinforcement Learning with Offline Data

Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations

Accelerating Exploration with Unlabeled Prior Data

Unsupervised Behavior Extraction via Random Intent Priors


Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

mixup: Beyond Empirical Risk Minimization

On Fast Sampling of Diffusion Probabilistic Models

On Feature Normalization and Data Augmentation

i-Mix: A Strategy for Regularizing Contrastive Representation Learning

Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence

International Conference on Electronics, Circuits, and Systems


Overcoming catastrophic forgetting with hard attention to the task

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

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

Generalized Variational Continual Learning

Bayesian Structure Adaptation for Continual Learning

Continual Learning Based on OOD Detection and Task Masking

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis


"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

Unsupervised Representation Learning by Predicting Image Rotations

AutoNovel: Automatically Discovering and Learning Novel Visual Categories


Open source implementation of "Neural Message Passing for Quantum Chemistry"

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Expressive Graph Informer Networks


Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

A Survey on Text Classification: From Shallow to Deep Learning

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

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Probabilistic Label Trees for Extreme Multi-label Classification

Label Disentanglement in Partition-based Extreme Multilabel Classification

A Survey on Extreme Multi-label Learning

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution
  Training in Extreme Multi-label Classification

Cluster-Guided Label Generation in Extreme Multi-Label Classification

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN

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


Compressed Video Action Recognition

Compressed Video Action Recognition

Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain

SIBGRAPI Conference on Graphics, Patterns and Images


Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming

Cross-Layer Effects on Training Neural Algorithms for Video Streaming

PROCEEDINGS OF THE 28TH ACM WORKSHOP ON NETWORK AND OPERATING SYSTEMS SUPPORT FOR DIGITAL AUDIO AND VIDEO (NOSSDAV'18)

Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

Adaptive Bitrate Video Streaming for Wireless nodes: A Survey.

Deep Reinforcement Learning For Wireless Scheduling with Multiclass Services

Automatic Curriculum Generation for Learning Adaptation in Networking


Ybat - YOLO BBox Annotation Tool

A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems

Iranis: A Large-scale Dataset of Iranian Vehicles License Plate Characters

International Conference on Pattern Recognition

Automatic Behavior and Posture Detection of Sows in Loose Farrowing Pens Based on 2D-Video Images

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline


This is a package to access the ClimateSERV API


Microglia morphology quantification tool

Automated Morphological Analysis of Microglia After Stroke

Active poly-GA vaccination prevents microglia activation and motor deficits in a C9orf72 mouse model

The NKCC1 ion transporter modulates microglial phenotype and inflammatory response to brain injury in a cell-autonomous manner

LRRC8A is dispensable for a variety of microglial functions and response to acute stroke

Microglial morphometric analysis: so many options, so little consistency

Microglia undergo rapid phenotypic transformation in acute brain slices but remain essential for neuronal synchrony


Development of Antibody-Based PROTACs for the Degradation of the Cell-Surface Immune Checkpoint Protein PD-L1

Journal of the American Chemical Society

Deep Generative Models for 3D Linker Design

Journal of chemical information and modeling

TF-PROTACs Enable Targeted Degradation of Transcription Factors

In Silico Modeling of PROTAC-Mediated Ternary Complexes: Validation and Application

RNA‐PROTACs: Degraders of RNA‐Binding Proteins

Angewandte Chemie (International ed. in English)

Proteolysis‐targeting chimeras in drug development: A safety perspective

PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes

Solution Conformations Shed Light on PROTAC Cell Permeability

Covalently Engineered Nanobody Chimeras for Targeted Membrane Protein Degradation

Antibody-Mediated Delivery of Chimeric BRD4 Degraders. Part 2: Improvement of In Vitro Antiproliferation Activity and In Vivo Antitumor Efficacy


Code for ACL 2022 findings paper "Gaussian Multi-head Attention for Simultaneous Machine Translation"

Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation

Hidden Markov Transformer for Simultaneous Machine Translation


VIGA: an one-stop tool for eukaryotic Virus Identification and Genome Assembly from next-generation-sequencing data

An updated database of virus circular RNAs provides new insights into the biogenesis mechanism of the molecule


Unsupervised Domain Adaptation on Graphs

Bridging Theory and Algorithm for Domain Adaptation

DIVA: Domain Invariant Variational Autoencoders

Learning Disentangled Semantic Representation for Domain Adaptation

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE


A multi-component spectral fitting code for active galactic nuclei with GUI interface

Reverberation Mapping of Two Luminous Quasars: The Broad-line Region Structure and Black Hole Mass

Monitoring AGNs with Hβ Asymmetry. III. Long-term Reverberation
  Mapping Results of 15 Palomar-Green Quasars

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

Accretion Disk Size Measurements of Active Galactic Nuclei Monitored by the Zwicky Transient Facility

Velocity-resolved Reverberation Mapping of Changing-look Active Galactic Nucleus NGC 4151 during Outburst Stage: Evidence for Kinematics Evolution of Broad-line Region

Spectroastrometry and Reverberation Mapping: The Mass and Geometric Distance of the Supermassive Black Hole in the Quasar 3C 273


C code for auto and cross power spectra evaluation.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

Monthly notices of the Royal Astronomical Society

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Consistency of effective field theory analyses of the BOSS power spectrum

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

BOSS full-shape analysis from the EFTofLSS with exact time dependence

Cosmic void exclusion models and their impact on the distance scale
  measurements from large scale structure


Formats Roary output for viewing in FriPan

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Whole-genome sequencing reveals transmission of gonococcal antibiotic resistance among men who have sex with men: an observational study


Code for paper "Out-of-domain detection for natural language understanding in dialog systems"

Out-of-Domain Detection for Natural Language Understanding in Dialog Systems

Energy-based Unknown Intent Detection with Data Manipulation


PeakConv-based Radar Semantic Segmentation Network

CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Multi-View Radar Semantic Segmentation

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation


Analytical computation of the epidemic threshold on temporal networks

Relevance of temporal cores for epidemic spread in temporal networks

Contact-Based Model for Epidemic Spreading on Temporal Networks


RISCV port of the Slackware distribution


This project is to test the adversarial training method with TextCNN text classification model.

Explaining and Harnessing Adversarial Examples

Fast is better than free: Revisiting adversarial training

FreeLB: Enhanced Adversarial Training for Natural Language Understanding


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

Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian

Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Atwell et al data

Fast and flexible linear mixed models for genome-wide genetics

Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Arabidopsis Seeds

Combining Sparse Group Lasso and Linear Mixed Model Improves Power to Detect Genetic Variants Underlying Quantitative Traits

Bivariate genomic analysis identifies a hidden locus associated with bacteria hypersensitive response in Arabidopsis thaliana


Partial scanning transmission electron microscopy with deep learning

Recent advances and applications of deep learning methods in materials science

Partial Scanning Transmission Electron Microscopy with Deep Learning

Partial Scan Electron Microscopy with Deep Learning.


A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with
  Graph, Image, and Text


Source code for the paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"

End-to-End Multi-Task Learning with Attention

Multi-Task Learning as Multi-Objective Optimization

Knowledge Distillation for Multi-task Learning


Full ROS implementation of BKI with dynamic BKI and convolutional BKI

RELLIS-3D Dataset: Data, Benchmarks and Analysis

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with
  Quantifiable Uncertainty


Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)

Learning Causal Models from Conditional Moment Restrictions by
  Importance Weighting

Instrumental Variables in Causal Inference and Machine Learning: A
  Survey


Collaborative genetic studies of idiopathic pulmonary fibrosis

Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis

An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility

medRxiv : the preprint server for health sciences

Genome-wide association study across five cohorts identifies five novel loci associated with idiopathic pulmonary fibrosis

Leveraging global multi-ancestry meta-analysis in the study of idiopathic pulmonary fibrosis genetics

Longitudinal lung function and gas transfer in individuals with idiopathic pulmonary fibrosis: a genome-wide association study

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology

A Statistical Framework to Identify Cell Types Whose Genetically Regulated Proportions are Associated with Complex Diseases

Reassessing the association of MUC5B with survival in idiopathic pulmonary fibrosis


Inria 3rd-way proposal for a European Exposure Notification System

Decentralized Privacy-Preserving Proximity Tracing

Demystifying COVID-19 digital contact tracing: A survey on frameworks
  and mobile apps

A Critique of the Google Apple Exposure Notification (GAEN) Framework

Hansel and Gretel and the Virus: Privacy Conscious Contact Tracing


Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams

Generative Imputation and Stochastic Prediction

Cost-Sensitive Diagnosis and Learning Leveraging Public Health Data

Controlling costs: Feature selection on a budget

韓國海洋工學會誌 = Journal of ocean engineering and technology


SMTpred is a program which combines SNP effects or individual scores from multiple traits according to their sample size, SNP-heritability (h2) and genetic correlation (rG), in order to create more accurate polygenic risk scores.

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Multi-PGS enhances polygenic prediction: weighting 937 polygenic scores

Polygenic risk scores: effect estimation and model optimization


Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

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

ELECTRAMed: a new pre-trained language representation model for biomedical NLP


Revealing neural correlates of behavior without behavioral measurements

Neural mechanisms of context-dependent segmentation tested on large-scale recording data


MUMmer for HPC

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

Research in Computational Molecular Biology

MinCall - MinION end2end convolutional deep learning basecaller

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

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada


A simple way to calibrate your neural network.

On Calibration of Modern Neural Networks

Overinterpretation reveals image classification model pathologies

Non-Parametric Outlier Synthesis

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction

What Makes Graph Neural Networks Miscalibrated?

Clumpiness: time-domain classification of red giant evolutionary states

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for
  Deep Neural Networks

Unifying Model Explainability and Robustness via Machine-Checkable Concepts.

Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift


StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss


Utility library for working with search- and fold-mode PSRFITS pulsar data files.

A Sample of Low-energy Bursts from FRB 121102

THE GREEN BANK TELESCOPE 350 MHz DRIFT-SCAN SURVEY II: DATA ANALYSIS AND THE TIMING OF 10 NEW PULSARS, INCLUDING A RELATIVISTIC BINARY

The Long Wavelength Array Software Library

Arecibo observations of a burst storm from FRB 20121102A in 2016

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

Unusually Bright Single Pulses from the Binary Pulsar B1744–24A: A Case of Strong Lensing?

FAST Observations of an Extremely Active Episode of FRB 20201124A. IV. Spin Period Search

A radio pulsar phase from SGR J1935+2154 provides clues to the magnetar FRB mechanism.

The SPAN512 mid-latitude pulsar survey at the Nançay Radio Telescope

Search for fast radio transients using Arecibo drift-scan observations at 1.4 GHz


Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)

Journal of visual communication and image representation

Scene Classification Based on Multiscale Convolutional Neural Network

PROCEEDINGS OF THE 6TH ACM WORKSHOP ON INFORMATION HIDING AND MULTIMEDIA SECURITY (IH&MMSEC'18)

Image forgery detection using steerable pyramid transform and local binary pattern

Detection and Localization of Image Forgeries using Resampling Features and Deep Learning

Double JPEG compression forensics based on a convolutional neural network

EURASIP Journal on Multimedia and Information Security


computation of convolutional kernels (CKN and NTK) in C++

On the Inductive Bias of Neural Tangent Kernels

Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations

Approximation and Learning with Deep Convolutional Models: a Kernel Perspective


Bitcoin Network Probing Tool

Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash

Towards Better Understanding of Bitcoin Unreachable Peers.

Transaction Clustering Using Network Traffic Analysis for Bitcoin and Derived Blockchains

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM 2019 WKSHPS)


The tRNA adaptation index

Variation and selection on codon usage bias across an entire subphylum

Biased Mutation and Selection in RNA Viruses

An improved estimation of tRNA expression to better elucidate the coevolution between tRNA abundance and codon usage in bacteria

ΦX174 Attenuation by Whole-Genome Codon Deoptimization

Codon-usage optimization in the prokaryotic tree of life: How synonymous codons are differentially selected in sequence domains with different expression levels and degrees of conservation

Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5ʹ End of ORFeomes

Evolution and codon usage bias of mitochondrial and nuclear genomes in Aspergillus section Flavi

Codon usage bias in prokaryotic genomes and environmental adaptation


[NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin

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

data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale


Paired REad TEXTure Mapper. Converts SAM formatted read pairs into genome contact maps.

A Reference Genome Assembly of American Bison, Bison bison bison

Reference Genome of the Northwestern Pond Turtle, Actinemys marmorata

The clove (Syzygium aromaticum) genome provides insights into the eugenol biosynthesis pathway

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

A chromosome-level reference genome for the giant pink sea star, Pisaster brevispinus, a species severely impacted by wasting

A chromosome-level reference genome and pangenome for barn swallow population genomics

De novo assembly of a chromosome-level reference genome for the California Scrub-Jay, Aphelocoma californica

Reference Genome of the Black Surfperch, Embiotoca jacksoni (Embiotocidae, Perciformes), a California Kelp Forest Fish That Lacks a Pelagic Larval Stage

The genome sequence of the European water vole, Arvicola amphibius Linnaeus 1758

The genome of a giant (trevally): Caranx ignobilis


Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)

MINE: Mutual Information Neural Estimation

Deep Variational Information Bottleneck


genome simulation across a population with zeta-distributed allele frequency, snps, insertions, deletions, and multi-nucleotide polymorphisms

MOSAIK: A Hash-Based Algorithm for Accurate Next-Generation Sequencing Short-Read Mapping

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

Co-linear Chaining with Overlaps and Gap Costs


RGB-T Image Saliency Detection via Collaborative Graph Learning

A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach

RGBT Salient Object Detection: A Large-scale Dataset and Benchmark

Mirror Complementary Transformer Network for RGB-thermal Salient Object
  Detection


Laser Speckle Contrast Imaging Toolbox

Laser speckle contrast imaging in biomedical optics

Quantitative imaging of ischemic stroke through thinned skull in mice with Multi Exposure Speckle Imaging

Tissue perfusion measurements: multiple-exposure laser speckle analysis generates laser Doppler–like spectra

Sensitivity of laser speckle contrast imaging to flow perturbations in the cortex

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Directly measuring absolute flow speed by frequency-domain laser speckle imaging

Evaluating multi-exposure speckle imaging estimates of absolute autocorrelation times

Entropy analysis reveals a simple linear relation between laser speckle and blood flow

Real-time monitoring of biomechanical activity in aphids by laser speckle contrast imaging

A novel highly efficient algorithm for laser speckle imaging


Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

MDMMT: Multidomain Multimodal Transformer for Video Retrieval


Attention Is All You Need

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

Longformer: The Long-Document Transformer

Generating Long Sequences with Sparse Transformers

SparseBERT: Rethinking the Importance Analysis in Self-attention


Lazy random walks for superpixel segmentation (IEEE TIP14)

Lazy Random Walks for Superpixel Segmentation

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

Superpixel Segmentation Using Gaussian Mixture Model

An Iterative Spanning Forest Framework for Superpixel Segmentation

Content-Based Superpixel Segmentation and Matching Using Its Region Feature Descriptors

IEICE transactions on information and systems


Multi Exponential Relaxation Analysis toolbox for MATLAB

Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry

Double diffusion encoding and applications for biomedical imaging

Quantitative Multicomponent T2 Relaxation Showed Greater Sensitivity Than Flair Imaging to Detect Subtle Alterations at the Periphery of Lower Grade Gliomas

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation


Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"

Bayesian Optimization with High-Dimensional Outputs

Sparse Bayesian Optimization


Implementation of WGAN-QC

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Wasserstein Iterative Networks for Barycenter Estimation

Entropic Neural Optimal Transport via Diffusion Processes

Generating Synthetic Datasets by Interpolating along Generalized
  Geodesics


Compute Effort To Compress (ETC) using the NSRPS algorithm in Python

A new complexity measure for time series analysis and classification

The European physical journal. Special topics

Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising

Dynamical Complexity Of Short and Noisy Time Series

Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain

Aging and cardiovascular complexity: effect of the length of RR tachograms

Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis

Data based intervention approach for Complexity-Causality measure

Vagus nerve stimulation modulates complexity of heart rate variability differently during sleep and wakefulness

A novel perturbation based compression complexity measure for networks

Causal Discovery using Compression-Complexity Measures


Representation learning on dynamic graphs using self-attention networks

Dynamic Network Embedding Survey

Dynamic Graph Representation Learning via Self-Attention Networks

Understanding graph embedding methods and their applications

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Link prediction in dynamic networks using random dot product graphs

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events

Time-varying Graph Representation Learning via Higher-Order Skip-Gram
  with Negative Sampling

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming


Watset: Automatic Induction of Synsets from a Graph of Synonyms

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

Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction

Computational linguistics - Association for Computational Linguistics

Unsupervised Sense-Aware Hypernymy Extraction


A simple MATLAB regression toolbox

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

Retrieval of High Spatiotemporal Resolution Leaf Area Index with Gaussian Processes, Wireless Sensor Network, and Satellite Data Fusion

Retrieval of Case 2 Water Quality Parameters with Machine Learning


Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty


Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100

Skew Orthogonal Convolutions

projUNN: efficient method for training deep networks with unitary
  matrices

1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness


HOPS - A user-friendly software for single-object photometry and exoplanet light-curve modelling

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

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

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

Original Research By Young Twinkle Students (ORBYTS): Ephemeris Refinement of Transiting Exoplanets III

Astronomy theory observations and methods


A legacy repository. Was replaced by distiller, cooler, and cooltools.

High-quality genome assembly and resequencing of modern cotton cultivars provide resources for crop improvement

Centromere Interactions Promote the Maintenance of the Multipartite Genome in Agrobacterium tumefaciens

Sensitivity of cohesin–chromatin association to high-salt treatment corroborates non-topological mode of loop extrusion


Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

Learning Context-Free Languages with Nondeterministic Stack RNNs

Learning Hierarchical Structures with Differentiable Nondeterministic
  Stacks


Code and documentation supporting Markello & Misic, 2021, "Comparing spatial null models for brain maps" (NeuroImage)

Time-resolved structure-function coupling in brain networks

Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness


Datasets of X-Ray imaging for detection of COVID-19

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging

COVID-19 Diagnosis from Medical Images Using Transfer Learning

The Saudi journal of health systems research

WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis


Notes on ChIP-seq and other-seq-related tools

TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions

CUT&Tag for efficient epigenomic profiling of small samples and single cells

The ENCODE Blacklist: Identification of Problematic Regions of the Genome

ChIP-Atlas: a data-mining suite powered by full integration of public ChIP-seq data

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

Identification of transcription factor binding sites using ATAC-seq

Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling

An interactive environment for agile analysis and visualization of ChIP-sequencing data

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments


Robustness for Non-Parametric Classification: A Generic Attack and Defense

Robust Decision Trees Against Adversarial Examples

Minimum-Norm Adversarial Examples on KNN and KNN-Based Models

Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams


Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation


Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable
  Example Attacks

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


A flexible Chemical Evolution model in python

Inflow, Outflow, Yields, and Stellar Population Mixing in Chemical Evolution Models

APOGEE Chemical Abundances of the Sagittarius Dwarf Galaxy

APOGEE DR14/DR15 Abundances in the Inner Milky Way

The Impact of Starbursts on Element Abundance Ratios

Reconstructing the Disrupted Dwarf Galaxy Gaia-Sausage/Enceladus Using Its Stars and Globular Clusters


ToyADMOS2 dataset: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring Applying Domain
  Generalization Techniques

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection for Domain Generalization Task


C++ implemented Coordinate Descent Full Configuration Interaction (CDFCI) package for quantum chemistry calculation.

Journal of chemical theory and computation

Coordinate-wise descent methods for leading eigenvalue problem

Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget

A power series approximation in symmetry projected coupled cluster theory.

Coordinate Descent Full Configuration Interaction for Excited States


Multidimensional RNN in Keras Tensorflow

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

International Conference on Information and Knowledge Management

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval

International ACM SIGIR Conference on Research and Development in Information Retrieval


Fast Structural Variation Detection Toolbox

SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications

On the Population Dynamics of Junk: A Review on the Population Genomics of Transposable Elements

Tangram: a comprehensive toolbox for mobile element insertion detection

Toolbox for Mobile-Element Insertion Detection on Cancer Genomes


Official PyTorch implementation of CASS, from the following paper:  CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.

Efficient Representation Learning for Healthcare with
  Cross-Architectural Self-Supervision


Bengali stopwords collection

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Cyberbullying Detection Using Deep Neural Network from Social Media
  Comments in Bangla Language

Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model

Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model

An in-depth exploration of Bangla blog post classification

Bulletin of Electrical Engineering and Informatics

MUM at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using Supervised Learning Approaches

Approaches for Improving the Performance of Fake News Detection in
  Bangla: Imbalance Handling and Model Stacking

Toward Cultural Bias Evaluation Datasets: The Case of Bengali Gender, Religious, and National Identity

Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)


PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

Deep Residual Learning for Image Recognition

Neural Discrete Representation Learning

Theory and Experiments on Vector Quantized Autoencoders


HERitAge by point CLoud procESsing for Matlab

Virtual Disassembling of Historical Edifices: Experiments and Assessments of an Automatic Approach for Classifying Multi-Scalar Point Clouds into Architectural Elements

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

ISPRS international journal of geo-information

AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND CLASSIFICATION USING GEOMETRICAL RULES

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

AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II


Calculate Average Nucleotide Identity (ANI) for prokaryotic genomes

Development of gut microbiota and bifidobacterial communities of neonates in the first 6 weeks and their inheritance from mother

Comparative genomic analyses of Lactobacillus rhamnosus isolated from Chinese subjects

Draft genome sequences for the obligate bacterial predators Bacteriovorax spp. of four phylogenetic clusters

Gene content dissimilarity for subclassification of highly similar microbial strains

Complete genome assembly of clinical multidrug resistant Bacteroides fragilis isolates enables comprehensive identification of antimicrobial resistance genes and plasmids


Package for CGD and ACGD optimizers

Competitive Gradient Descent

Implicit competitive regularization in GANs

Competitive Physics Informed Networks

Comparison of Neural FEM and Neural Operator Methods for applications in
  Solid Mechanics


Code for the paper Deep Active Inference as Variational Policy Gradients.

Applications of the Free Energy Principle to Machine Learning and Neuroscience

Deconstructing deep active inference


[KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems

Data-centric Artificial Intelligence: A Survey

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning


EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

A general representation of dynamical systems for reservoir computing


好的CADD教程，资源总结

Highly accurate protein structure prediction with AlphaFold

Open Babel: An open chemical toolbox

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

DOCK 6: Impact of new features and current docking performance

Flexible Cdocker: Development and Application of a Pseudo-Explicit Structure-Based Docking Method within Charmm

CRDS: Consensus Reverse Docking System for target fishing


(ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices

Prioritized Experience Replay

Rainbow: Combining Improvements in Deep Reinforcement Learning

Dopamine: A Research Framework for Deep Reinforcement Learning

Action Branching Architectures for Deep Reinforcement Learning


A neural attention model for speech command recognition

End-to-End Speech Recognition From the Raw Waveform

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions


Repository of the integrated mouse gut metagenomic catalog

Reproducible changes in the gut microbiome suggest a shift in microbial and host metabolism during spaceflight

Impaired glucose metabolism and altered gut microbiome despite calorie restriction of ob/ob mice

An integrated metagenome catalog reveals novel insights into the murine gut microbiome

Genome-Based Targeted Sequencing as a Reproducible Microbial Community Profiling Assay

MRGM: a mouse reference gut microbiome reveals a large functional discrepancy for gut bacteria of the same genus between mice and humans


My modified version of YoloV5 training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition

mixup: Beyond Empirical Risk Minimization

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

Dynamic Scale Training for Object Detection


This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Weightless: Lossy Weight Encoding For Deep Neural Network Compression

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures


Notes on SNP-related tools and genome variation analysis

DELLY: structural variant discovery by integrated paired-end and split-read analysis

CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

LUMPY: A probabilistic framework for structural variant discovery

PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations

The ENCODE Blacklist: Identification of Problematic Regions of the Genome

A universal SNP and small-indel variant caller using deep neural networks

Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data

CREST maps somatic structural variation in cancer genomes with base-pair resolution


[BMVC 2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations"

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

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

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

電子情報通信学会ソサイエティ大会講演論文集


Implementation for the Neural Logic Machines (NLM).

End-To-End Memory Networks

Neural Logic Machines

Abductive Knowledge Induction From Raw Data

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces


Sparse-input neural networks

Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Ensembled sparse‐input hierarchical networks for high‐dimensional datasets

A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks


MindSpore implementations of Generative Adversarial Networks.

Generative Adversarial Networks

Wasserstein GAN

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

BEGAN: Boundary Equilibrium Generative Adversarial Networks

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Boundary-Seeking Generative Adversarial Networks


A library of translation-based text similarity measures

No Language Left Behind: Scaling Human-Centered Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks


Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"

Online Prototype Learning for Online Continual Learning


Anno is a variant annotation tool

Exome sequencing in families with chronic central serous chorioretinopathy

Exome sequencing in patients with chronic central serous chorioretinopathy

Variable Effects of PD-Risk Associated SNPs and Variants in Parkinsonism-Associated Genes on Disease Phenotype in a Community-Based Cohort

Association analyses of rare variants identify two genes associated with refractive error


Simple-to-use scoring function for arbitrarily tokenized texts.

Tokenization and the Noiseless Channel

Greed is All You Need: An Evaluation of Tokenizer Inference Methods


REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding


[ICASSP-2021] Official implementations of Multi-View Contrastive Learning for Online Knowledge Distillation (MCL-OKD)

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Multi-view Contrastive Learning for Online Knowledge Distillation


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Advances and Challenges in Multimodal Remote Sensing Image Registration

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.


Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

Neural Deepfake Detection with Factual Structure of Text

GRUEN for Evaluating Linguistic Quality of Generated Text

Authorship Obfuscation in Multilingual Machine-Generated Text Detection


Public repository for the work on bandit problems

Variational inference for the multi-armed contextual bandit

Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling

Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit


HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Domain Transfer Learning for Hyperspectral Image Super-Resolution

Self-Dictionary Regression for Hyperspectral Image Super-Resolution

Blind Fusion of Hyperspectral Multispectral Images Based on Matrix Factorization

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion

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

A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening

Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization.


NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results


U-Net: Convolutional Networks for Biomedical Image Segmentation

Aggregated Residual Transformations for Deep Neural Networks

Hypercolumns for Object Segmentation and Fine-grained Localization

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Automatic salt deposits segmentation: A deep learning approach


[ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic
  Latent Particles


Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Fairness and Explainability: Bridging the Gap Towards Fair Model
  Explanations

Graph Fairness Learning under Distribution Shifts


A COVID-19 CT Scan Dataset Applicable in Machine Learning and Deep Learning

COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning

Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems

Alexandria Engineering Journal /Alexandria Engineering Journal


[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Checkerboard Context Model for Efficient Learned Image Compression


MDToolbox: A MATLAB/Octave toolbox for statistical analysis of molecular dynamics trajectories

Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase

Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

Energetics and conformational pathways of functional rotation in the multidrug transporter AcrB

Dimensionality of Collective Variables for Describing Conformational Changes of a Multi-Domain Protein

The journal of physical chemistry letters

Influence of Structural Symmetry on Protein Dynamics

Sequential data assimilation for single-molecule FRET photon-counting data.

Origin and control of ionic hydration patterns in nanopores


TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer


RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. Everything was made in a modular fashion to be easy to use and easy to share.

Deep Learned Path Planning via Randomized Reward-Linked-Goals and
  Potential Space Applications

PPMC Training Algorithm: A Robot Independent Rough Terrain Deep Learning Based Path Planner and Motion Controller

RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots


A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

A Probabilistic U-Net for Segmentation of Ambiguous Images

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN


The Third DIHARD Diarization Challenge

Domain-Dependent Speaker Diarization for the Third DIHARD Challenge


This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia

State of the Art and Potentialities of Graph-level Learning


OptiX 7 Powered Realtime Acoustic Raytracing

Overview of geometrical room acoustic modeling techniques

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

CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory-Bound CFD Application

PROCEEDINGS OF THE 2013 13TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID 2013)

Multi-channel IIR filtering of audio signals using a GPU

International Conference on Acoustics, Speech, and Signal Processing

GPU-based image method for room impulse response calculation

A real-time crosstalk canceller on a notebook GPU

International Conference on Multimedia and Expo


Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

International Conference on Robotics and Automation

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection


Event network analyzer (eventnet): statistical analysis of networks of relational events.

Reliability of relational event model estimates under sampling: How to fit a relational event model to 360 million dyadic events

Dynamic network analysis of contact diaries

Micro-level network dynamics of scientific collaboration and impact: Relational hyperevent models for the analysis of coauthor networks

Relational hyperevent models for polyadic interaction networks


FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction


R code to compute the Singleton Density Score (SDS)

Dietary adaptation of FADS genes in Europe varied across time and geography

Using singleton densities to detect recent selection in Bos taurus


FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer，DOI: 10.1109/ACCESS.2022.3181225

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Method to Classify Skin Lesions using Dermoscopic images


Creative Commons Attribution Share Alike 4.0 International

A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

Does Medical Imaging learn different Convolution Filters?

An Empirical Investigation of Model-to-Model Distribution Shifts in
  Trained Convolutional Filters


Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

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

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising
  Diffusion GANs


The pytorch implementation of Multi-interactive Siamese Decoder for RGBT Salient Object Detection

Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection

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


Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

Combating Bilateral Edge Noise for Robust Link Prediction


A python implementation of Smile-GAN for semisupervised clustering

A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

Applications of Generative Adversarial Networks in Neuroimaging and
  Clinical Neuroscience


Barcode demultiplex for Illumina I1, R1, R2 fastq.gz files

Targeting zonulin and intestinal epithelial barrier function to prevent onset of arthritis

Impact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy Products

Discovery of synthetic lethal and tumor suppressor paralog pairs in the human genome

Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

Production of Naturally γ-Aminobutyric Acid-Enriched Cheese Using the Dairy Strains Streptococcus thermophilus 84C and Lactobacillus brevis DSM 32386

Sexual practices have a significant impact on the vaginal microbiota of women who have sex with women

Dynamics and Complexity of Dark Fermentation Microbial Communities Producing Hydrogen From Sugar Beet Molasses in Continuously Operating Packed Bed Reactors

Feeding with Sustainably Sourdough Bread Has the Potential to Promote the Healthy Microbiota Metabolism at the Colon Level

Dynamics of Gut Microbiota Recovery after Antibiotic Exposure in Young and Old Mice (A Pilot Study)

In-Depth Investigation of the Safety of Wooden Shelves Used for Traditional Cheese Ripening


R package for transfer learning of single-cell RNA-seq denoising

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


Author's PyTorch implementation of LAP and PAL with TD3 and DDQN

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay

Actor Prioritized Experience Replay

Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step
  Q-learning: A Novel Correction Approach


modified aa.bst with clickable url link in the bibliography

Polarimetric investigation of selected cloud compositions in exoplanetary atmospheres

The impact of the presence of water ice on the analysis of debris disk observations

Using debris disk observations to infer substellar companions orbiting within or outside a parent planetesimal belt

How much large dust could be present in hot exozodiacal dust systems?


Graph Neural Network for Traffic Forecasting: A Survey

Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools

A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems


Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

Local Temperature Scaling for Probability Calibration

What Makes Graph Neural Networks Miscalibrated?

Beyond In-Domain Scenarios: Robust Density-Aware Calibration


[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape
  Prediction


WhiteFox: White-box Compiler Fuzzing Empowered by Large Language Models

A Survey on Large Language Models for Software Engineering

Large Language Models Based Fuzzing Techniques: A Survey


[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Representation Learning with Contrastive Predictive Coding

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

Self-Supervised Learning for Label- Efficient Sleep Stage Classification: A Comprehensive Evaluation


*UNOFFICIAL, UNMAINTAINED and OUTDATED*: This was an unofficial archive of GMAP-GSNAP releases.  Please use the original website for current versions of the source code.

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Technology dictates algorithms: Recent developments in read alignment

Early Life Exposure to Environmentally Relevant Levels of Endocrine Disruptors Drive Multigenerational and Transgenerational Epigenetic Changes in a Fish Model

Allele Workbench: Transcriptome Pipeline and Interactive Graphics for Allele-Specific Expression

Transcript Complexity and New Insights of Restorer Line in CMS-D8 Cotton Through Full-Length Transcriptomic Analysis


MOST – MATPOWER Optimal Scheduling Tool, for steady-state power systems scheduling problems.

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Secure Planning and Operations of Systems With Stochastic Sources, Energy Storage, and Active Demand

Using the Matpower Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty

Incentive Based Demand Response Program for Power System Flexibility Enhancement

MATPOWER Optimal Scheduling Tool (MOST) User's Manual

A Flexible Tool for Modeling and Optimal Dispatch of Resources in Agri-Energy Hubs


Form images from U.S. National Archives annotated with text bounding boxes, classes, relationships, and transcription.

Deep Visual Template-Free Form Parsing

Visual FUDGE: Form Understanding via Dynamic Graph Editing

Revising FUNSD dataset for key-value detection in document images


TIP2019-GazeGAN Saliency Model

How is Gaze Influenced by Image Transformations? Dataset and Model

When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing


The PyTorch implementation of paper SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. (NeurIPS 2021)

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training


Python implementation of Geometric Dataset Distances via Optimal Transport

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping


Efficient Exploration through Bayesian Deep Q-Networks

Randomized Value Functions via Multiplicative Normalizing Flows

Principled Exploration via Optimistic Bootstrapping and Backward Induction


code associated with crane-nature-2015, 10.1038/nature14450

Condensin-driven remodelling of X chromosome topology during dosage compensation

Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition

Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells

TAD fusion score: discovery and ranking the contribution of deletions to genome structure

Quantifying the phase separation property of chromatin-associated proteins under physiological conditions using an anti-1,6-hexanediol index

Contribution of structural variation to genome structure: TAD fusion discovery and ranking

Integrative Analysis of Genome, 3D Genome, and Transcriptome Alterations of Clinical Lung Cancer Samples

基因组蛋白质组与生物信息学报


Chromatic aberration simulation and correction

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and trends in machine learning

Blind deconvolution using a normalized sparsity measure

High-quality hyperspectral reconstruction using a spectral prior

International Conference on Computer Graphics and Interactive Techniques

Color Correction Using Root-Polynomial Regression

Beyond Color Difference: Residual Interpolation for Color Image Demosaicking

Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking

Compact single-shot hyperspectral imaging using a prism

Reference data set for camera spectral sensitivity estimation

Journal of the Optical Society of America. A, Optics, image science, and vision./Journal of the Optical Society of America. A, Online

Joint demosaicing and denoising of noisy bayer images with ADMM

International Conference on Information Photonics

Color Homography: Theory and Applications

IEEE transactions on pattern analysis and machine intelligence


Causal Effect Inference with Deep Latent-Variable Models

Inferring Personalized and Race-Specific Causal Effects of Genomic Aberrations on Gleason Scores: A Deep Latent Variable Model

Estimating Potential Outcome Distributions with Collaborating Causal Networks

Causal Knowledge Guided Societal Event Forecasting


DNET - Power Distribution Network Evaluation Tool

Evaluation of Annual Energy Loss Reduction Based on Reconfiguration Scheduling

Maximizing hosting capacity of distributed generation by network reconfiguration in distribution system

Distribution Network Verification for Secure Restoration by Enumerating All Critical Failures


Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"

SUPERB: Speech processing Universal PERformance Benchmark


A convolutional neural network for tuberculosis diagnosis from frontal chest X-Rays

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization

AI can evolve without labels: self-evolving vision transformer for chest
  X-ray diagnosis through knowledge distillation


Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

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

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Boosting Offline Reinforcement Learning via Data Rebalancing

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

Semi-Supervised Offline Reinforcement Learning with Action-Free
  Trajectories

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


Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder

Disrupted intrinsic functional brain topology in patients with major depressive disorder

Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination

Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naive patients with major depressive disorder


Wuhan Corona (COVID-19) patients dataset

Deep neural networks ensemble to detect COVID-19 from CT scans

A comprehensive review of federated learning for COVID‐19 detection

International journal of intelligent systems

A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging

Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans


Tools for extracting read counts and gc and mappability statistics in preparation for running HMMCopy.

Analysis pipelines for cancer genome sequencing in mice

MAVS Antagonizes Human Stem Cell Senescence as a Mitochondrial Stabilizer

Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential

CRISPR-based screening identifies XPO7 as a positive regulator of senescence


Retrofitting Word Vectors to Semantic Lexicons

Improving Lexical Embeddings with Semantic Knowledge

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

Learning Word Representations with Regularization from Prior Knowledge

Conference on Computational Natural Language Learning


Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)

Academic Excellence in Action: A Case Study of Effective Instructional Methodologies of Middle Grades Math Teachers

Understanding the Role of Training Regimes in Continual Learning


New dataset

Cross-lingual Language Model Pretraining

MLQA: Evaluating Cross-lingual Extractive Question Answering

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT


A pytorch reimplementation of 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

Learning to diagnose from scratch by exploiting dependencies among labels

CovidAID: COVID-19 Detection Using Chest X-Ray

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

Discovering and Mitigating Visual Biases through Keyword Explanation

COVID-19 Detection using Chest X-Ray

International journal of scientific research in science, engineering and technology

An Aggregate Method for Thorax Diseases Classification


A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.

A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter

Opening the black box: an open-source release of Maxent

Presence‐only modelling using MAXENT: when can we trust the inferences?

MaxEnt's parameter configuration and small samples: are we paying attention to recommendations? A systematic review.


Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset


Utilities for nonlinear least-squares fits.

|Vub | from B →π ν decays and (2+1)-flavor lattice QCD

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

B_c → J/ψ Form Factors for the full q^2 range from
  Lattice QCD

Neutral kaon mixing beyond the Standard Model with n f = 2 + 1 chiral fermions. Part 2: non perturbative renormalisation of the ΔF = 2 four-quark operators

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

Two-nucleon S -wave interactions at the SU(3) flavor-symmetric point with mud≈ msphys: A first lattice QCD calculation with the stochastic Laplacian Heaviside method

Gluon gravitational structure of hadrons of different spin

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Reconstruction of smeared spectral functions from Euclidean correlation functions

Progress of theoretical and experimental physics

B_c → B_s(d) form factors from lattice QCD

Improved information criteria for Bayesian model averaging in lattice
  field theory

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0


COMP6 Benchmark dataset for ML potentials

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Less is more: sampling chemical space with active learning

ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

Outsmarting Quantum Chemistry Through Transfer Learning

Learning Small Molecule Energies and Interatomic Forces with an
  Equivariant Transformer on the ANI-1x Dataset


PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

Combating Label Distribution Shift for Active Domain Adaptation

Bayesian Active Learning for Sim-to-Real Robotic Perception


Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data.

De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data

Single cell RNA-seq reveals profound transcriptional similarity between Barrett’s oesophagus and oesophageal submucosal glands

GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection

BEARscc determines robustness of single-cell clusters using simulated technical replicates

Discovery of Muscle-Tendon Progenitor Subpopulation in Human Myotendinous Junction at Single-Cell Resolution

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight


Simultaneous NMT/MMT framework in PyTorch

Simultaneous Machine Translation with Visual Context

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation

Visual Cues and Error Correction for Translation Robustness

Exploring Supervised and Unsupervised Rewards in Machine Translation


Seeking information like heteroplasmy, structure variants, etc. on  Mitochondrial genome from next generation sequencing

mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud

MitoSeek: extracting mitochondria information and performing high-throughput mitochondria sequencing analysis

“Mitochondrial Toolbox” – A Review of Online Resources to Explore Mitochondrial Genomics


simobility - light-weight mobility simulation framework. Best for quick prototyping


Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Deep Residual Learning for Image Recognition

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Aggregated Residual Transformations for Deep Neural Networks


Perceptual quality metrics for TensorFlow

Perceptually optimized image rendering

An Unsupervised Information-Theoretic Perceptual Quality Metric


Knowledge-Enriched Distributional Model Inversion Attacks

Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

Re-thinking Model Inversion Attacks Against Deep Neural Networks

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield
  but Also a Catalyst for Model Inversion Attacks


PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Variational Graph Recurrent Neural Networks


This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".

Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis