Skip to content

List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

License

Notifications You must be signed in to change notification settings

NeelBhowmik/xray

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

85 Commits
 
 
 
 
 
 

Repository files navigation

XrayVision: Brief history of X-ray security imaging in Computer Vision


💥 List of datasets and papers (not exhaustive)!

🦉 Our epochal mission: Time to gather all those papers and datasets about X-ray security imaging onto this page! Let's turn this into the one-stop-shop for the research community - no need to wander around - we've got you covered!

👾 This is constantly updated with the latest datasets, papers - check in regularly for updates!

🐲 Dataset

📈 [2D: 18] [3D: 2]

Name Type Year Class Prohibited - Negative Annotations Views Open Source
LDXray 2D 2024 12 146,997 - 0 bbox 2 [Link]
DVXRAY 2D 2024 15 10,000 - 22,0000 bbox 2 [Link]
LPIXray 2D 2023 18 60,950 - 0 bbox 1 [Link]
FSOD 2D 2022 20 12,333 - 0 bbox 1 [Link]
EDS 2D 2022 10 14,219 - 0 bbox 1 [Link]
Xray-PI 2D 2022 12 2,409 - 0 bbox, segm 1 [Link]
PIXray 2D 2022 12 5,046 - 0 bbox, segm 1 [Link]
CLCXray 2D 2022 12 9,565 - 0 bbox 1 [Link]
HiXray 2D 2021 8 45,364 - 0 bbox 1 [Link]
deei6 2D 2021 6 7,022 - 0 bbox, segm 2 [Link]
PIDray 2D 2021 12 47,677 - 0 bbox, segm 1 [Link]
AB 2D 2021 -- 417 - 6,608 -- 2 [Link]
dbf4 2D 2020 4 10,112 - 0 bbox, segm 4 [Link]
OPIXray 2D 2020 5 8,885 - 0 bbox 1 [Link]
SIXray 2D 2019 6 8,929 - 1,050,0302 bbox 1 [Link]
COMPASS-XP 2D 2019 366 1928 - 0 -- 1 [Link]
dbf6 2D 2018 6 11,627 - 0 bbox, segm 4 [Link]
GDXray 2D 2015 5 19,407 - 0 bbox 1 [Link]
Dur_3D 3D 2020 5 774 - 0 bbox -- [Link]
Flitton_3D 3D 2015 2 810 - 2149 bbox -- [Link]

📜 Paper

📈 [2D: 166] [3D: 38]

🐜 [Dataset] [2024] [2023] [2022] [2021] [2020] [2019] [2018] [Earlier] [Reference]

2024

[top]

2D

  • Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? [Paper]
  • Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images [Paper]
  • CLIFS: Clip-Driven Few-Shot Learning for Baggage Threat Classification [Paper]
  • Adaptxray: Vision Transformer And Adapter In X-Ray Images For Prohibited Items Detection [Paper]
  • Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery [Paper]
  • An Optimized Mask R-CNN with Bag-of-Visual Words and Fast+Surf Algorithm in Sharp Object Instance Segmentation for X-ray Security [Paper]
  • Multi-Scale Hierarchical Contour Framework for Detecting Cluttered Threats in Baggage Security [Paper]
  • Towards Dual-view X-ray Baggage Inspection: A Large-scale Benchmark and Adaptive Hierarchical Cross Refinement for Prohibited Item Discovery [Paper]
  • X-ray image analysis for explosive circuit detection using deep learning algorithms [Paper]

2023

[top]

2D

  • Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers [Paper]
  • Enhanced detonators detection in X-ray baggage inspection by image manipulation and deep convolutional neural networks [Paper]
  • Illicit item detection in X-ray images for security applications [Paper]
  • Enhancing baggage inspection through computer vision analysis of x-ray images [Paper]
  • GADet: A Geometry-Aware X-ray Prohibited Items Detector [Paper]
  • LPIXray: A Large-scale Logistics Prohibited Item X-ray Dataset for the Application of Deep Learning in Security Inspection [Paper]
  • Electronic explosives inspection: a fine-grained X-ray benchmark and few-shot prohibited phone detection model [Paper]
  • DETR Based Prohibited Item Detection in X-ray Security Checking Images [Paper]
  • Feature-Aware Prohibited Items Detection for X-Ray Image [Paper]
  • A literature review on deep learning algorithms for analysis of X-ray images [Paper]
  • X-ray Detection of Prohibited Item Method Based on Dual Attention Mechanism [Paper]
  • Inspection of cargo using dual-energy X-ray radiography: A review [Paper]
  • Programmable broad learning system for baggage threat recognition [Paper]
  • SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection [Paper]
  • Attention Based Network with DA-Loss for X-ray Contraband Automatic Detection [Paper]
  • AC-YOLOv4: an object detection model incorporating attention mechanism and atrous convolution for contraband detection in x-ray images [Paper]
  • FSVM: A Few-Shot Threat Detection Method for X-ray Security Images [Paper]
  • Incremental Instance Segmentation for Cluttered Baggage Threat Detection [Paper]
  • Optimization and Research of Suspicious Object Detection Algorithm in X-ray Image [Paper]
  • Object Detection and X-Ray Security Imaging: A Survey [Paper]
  • RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis [Paper]
  • Transformers for Imbalanced Baggage Threat Recognition [Paper]
  • CTA-FPN: Channel-Target Attention Feature Pyramid Network for Prohibited Object Detection in X-ray Images [Paper]
  • Material-Aware Path Aggregation Network and Shape Decoupled SIoU for X-ray Contraband Detection [Paper]
  • Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening [Paper]
  • X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection [Paper]
  • Cascaded structure tensor for robust baggage threat detection [Paper]
  • Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey [Paper]

2022

[top]

2D

  • Learning-based Material Classification in X-ray Security Images [Paper]
  • Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network [Paper]
  • Balanced Affinity Loss for Highly Imbalanced Baggage Threat Contour-Driven Instance Segmentation [Paper]
  • Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery [Paper]
  • Automatic Baggage Threat Detection Using Deep Attention Networks [Paper]
  • A Multi-Task Semantic Segmentation Network for Threat Detection in X-Ray Security Images [Paper]
  • Dualray: Dual-View X-ray Security Inspection Benchmark and Fusion Detection Framework [Paper]
  • MFA-net: Object detection for complex X-ray cargo and baggage security imagery [Paper]
  • Baggage Threat Recognition Using Deep Low-Rank Broad Learning Detector [Paper]
  • Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network [Paper]
  • Improved YOLOX detection algorithm for contraband in X-ray images [Paper]
  • LightRay: Lightweight network for prohibited items detection in X-ray images during security inspection [Paper]
  • Benefits of Decision Support Systems in Relation to Task Difficulty in Airport Security X-Ray Screening [Paper]
  • Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey [Paper]
  • Automated Detection of Threat Materials in X -Ray Baggage Inspection System (XBIS) [Paper]
  • Threat detection in x-ray baggage security imagery using convolutional neural networks [Paper]
  • X-ray baggage screening and artificial intelligence (AI) [Paper]
  • Material-aware Cross-channel Interaction Attention (MCIA) for occluded prohibited item detection [Paper]
  • A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items [Paper]
  • How Realistic Is Threat Image Projection for X-ray Baggage Screening? [Paper]
  • Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery [Paper]
  • Recursive CNN Model to Detect Anomaly Detection in X-Ray Security Image [Paper]
  • Towards More Efficient Security Inspection via Deep Learning: A Task-Driven X-ray Image Cropping Scheme [Paper]
  • DMA-Net: Dual multi-instance attention network for X-ray image classification [Paper]
  • X-ray security check image recognition based on attention mechanism [Paper]
  • A Data Augmentation Method for Prohibited Item X-Ray Pseudocolor Images in X-Ray Security Inspection Based on Wasserstein Generative Adversarial Network and Spatial-and-Channel Attention Block [Paper]
  • Enhanced threat detection in three dimensions: An image-matched comparison of computed tomography and dual-view X-ray baggage screening [Paper]
  • ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection [Paper]
  • Anomaly object detection in x-ray images with Gabor convolution and bigger discriminative RoI pooling [Paper]
  • Intelligent Detection of Dangerous Goods in Security Inspection Based on Cascade Cross Stage YOLOv3 Model [Paper]
  • A Lightweight Dangerous Liquid Detection Method Based on Depthwise Separable Convolution for X-Ray Security Inspection [Paper]
  • EAOD-Net: Effective anomaly object detection networks for X-ray images [Paper]
  • American National Standard for Evaluating the Image Quality of X-ray Computed Tomography (CT) Security-Screening Systems [Paper]
  • Automated Segmentation of Prohibited Items in X-ray Baggage Images Using Dense De-overlap Attention Snake [Paper]
  • Programmable Broad Learning System to Detect Concealed and Imbalanced Baggage Threats [Paper]
  • Few-Shot Segmentation for Prohibited Items Inspection with Patch-based Self-Supervised Learning and Prototype Reverse Validation [Paper]
  • Augmenting data with GANs for firearms detection in cargo x-ray images [Paper]
  • Weight-guided dual-direction-fusion feature pyramid network for prohibited item detection in x-ray images [Paper]
  • Handling occlusion in prohibited item detection from X-ray images [Paper]
  • Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images [Paper]
  • PMix: a method to improve the classification of X-ray prohibited items based on probability mixing [Paper]
  • Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images [Paper]
  • Synthetic threat injection using digital twin informed augmentation [Paper]
  • Target Detection by Target Simulation in X-ray Testing [Paper]
  • Abnormal object detection in x-ray images with self-normalizing channel attention and efficient data augmentation [Paper]
  • Raw data processing techniques for material classification of objects in dual energy X-ray baggage inspection systems [Paper]

3D

  • CTIMS: Automated Defect Detection Framework Using Computed Tomography [Paper]

2021

[top]

2D

  • Super-resolution network for x-ray security inspection [Paper]
  • Information-exchange Enhanced Feature Pyramid Network (IEFPN) for Detecting Prohibited Items in X-ray Security Images [Paper]
  • Learning-Based Image Synthesis for Hazardous Object Detection in X-Ray Security Applications [Paper]
  • X-ray Security Inspection Image Detection Algorithm Based on Improved YOLOv4 [Paper]
  • A YOLOv5s-SE model for object detection in X-ray security images [Paper]
  • Prohibited Items Detection in X-ray Images in YOLO Network [Paper]
  • Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks [Paper]
  • Classify and Localize Threat Items in X-Ray Imagery With Multiple Attention Mechanism and High-Resolution and High-Semantic Features [Paper]
  • Raw Data Processing Using Modern Hardware for Inspection of Objects in X-Ray Baggage Inspection Systems [Paper]
  • Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats [Paper]
  • Automatic Threat Detection Using Deep Neural Networks [Paper]
  • Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection [Paper]
  • A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items [Paper]
  • Deep Fusion Driven Semantic Segmentation for the Automatic Recognition of Concealed Contraband Items [Paper]
  • Brittle Features May Help Anomaly Detection [Paper]
  • Deep Learning-Based X-Ray Baggage Hazardous Object Detection – An FPGA Implementation [Paper]
  • Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery [Paper]
  • Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging [Paper]
  • On the Impact of Using X-Ray Energy Response Imagery for Object Detection via Convolutional Neural Networks [Paper]
  • Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark [Paper]
  • PANDA: Perceptually Aware Neural Detection of Anomalies [Paper]
  • Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition [Paper]
  • Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition [Paper]
  • Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery [Paper]
  • Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach [Paper]
  • Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection [Paper]
  • Evaluating GAN-Based Image Augmentation for Threat Detection in Large-Scale Xray Security Images [Paper]
  • An X-ray Image Enhancement Algorithm for Dangerous Goods in Airport Security Inspection [Paper]
  • Baggage Threat Detection Under Extreme Class Imbalance [Paper]
  • Detecting Overlapped Objects in X-Ray Security Imagery by a Label-Aware Mechanism [Paper]

3D CT

  • Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery [Paper]
  • On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening [Paper]
  • SliceNets — A Scalable Approach for Object Detection in 3D CT Scans [Paper]
  • DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems [Paper]

2020

[top]

2D

  • Learning-based Material Classification in X-ray Security Images [Paper]
  • Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion [Paper]
  • Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery [Paper]
  • Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module [Paper]
  • Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion [Paper]
  • Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans [Paper]
  • Automatic Threat Detection in Baggage Security Imagery using Deep Learning Models [Paper]
  • Automatic Threat Detection in Single, Stereo (Two) and Multi View X-Ray Images [Paper]
  • Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach [Paper]
  • Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images [Paper]
  • X-Ray Baggage Inspection With Computer Vision: A Survey [Paper]
  • Data Augmentation of X-Ray Images in Baggage Inspection Based on Generative Adversarial Networks [Paper]

3D CT

  • Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery [Paper]
  • On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery [Paper]
  • A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes [Paper]
  • An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening [Paper]

2019

[top]

2D

  • Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery [Paper]
  • On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery [Paper]
  • Using Deep Neural Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex Electronic Items [Paper]
  • On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery [Paper]
  • The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composite X-ray Imagery [Paper]
  • Evaluating a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery [Paper]
  • Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection [Paper]
  • An evaluation of deep learning based object detection strategies for threat object detection in baggage security imagery [Paper]
  • Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery [Paper]
  • Automated firearms detection in cargo x-ray images using RetinaNet [Paper]
  • Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection [Paper]
  • “Unexpected Item in the Bagging Area”: Anomaly Detection in X-Ray Security Images [Paper]
  • Limits on transfer learning from photographic image data to X-ray threat detection [Paper]
  • Data Augmentation for X-Ray Prohibited Item Images Using Generative Adversarial Networks [Paper]
  • Modified Adaptive Implicit Shape Model for Object Detection [Paper]
  • Graph clustering and variational image segmentation for automated firearm detection in X-ray images [Paper]
  • Semantic Segmentation for Prohibited Items in Baggage Inspection [Paper]
  • Application of Machine Learning Methods for Material Classification with Multi-energy X-Ray Transmission Images [Paper]
  • Handgun Detection in Single-Spectrum Multiple X-ray Views Based on 3D Object Recognition [Paper]

3D CT

  • On the Relevance of Denoising and Artefact Reduction in 3D Segmentation and Classification within Complex Computed Tomography Imagery [Paper]

2018

[top]

2D

  • On Using Deep Convolutional Neural Network Architectures for Automated Object Detection and Classification within X-ray Baggage Security Imagery [Paper]
  • GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training [Paper]
  • Multi-view X-ray R-CNN [Paper]
  • A GAN-Based Image Generation Method for X-Ray Security Prohibited Items [Paper]
  • Prohibited Item Detection in Airport X-Ray Security Images via Attention Mechanism Based CNN [Paper]
  • Convolutional Neural Networks for Automatic Threat Detection in Security X-Ray Images [Paper]
  • Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach [Paper]

3D CT

  • Consensus relaxation on materials of interest for adaptive ATR in CT images of baggage [Paper]
  • Adaptive Target Recognition: A Case Study Involving Airport Baggage Screening [Paper]

Earlier

[top]

2D

  • An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery [Paper]
  • On using Feature Descriptors as Visual Words for Object Detection within X-ray Baggage Security Screening [Paper]
  • Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery [Paper]
  • Improving Feature-based Object Recognition for X-ray Baggage Security Screening using Primed Visual Words [Paper]
  • A Combinational Approach to the Fusion, De-noising and Enhancement of Dual-Energy X-Ray Luggage Images [Paper]
  • Improving Weapon Detection In Single Energy X-ray Images Through Pseudocoloring [Paper]
  • A review of X-ray explosives detection techniques for checked baggage [Paper]
  • A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection [Paper]
  • Automatic Defect Recognition in X-Ray Testing Using Computer Vision [Paper]
  • Modern Computer Vision Techniques for X-Ray Testing in Baggage Inspection[Paper]
  • Inspection of Complex Objects Using Multiple-X-Ray Views [Paper]
  • Automated X-Ray Object Recognition Using an Efficient Search Algorithm in Multiple Views [Paper]
  • X-Ray Testing by Computer Vision [Paper]
  • Automated detection in complex objects using a tracking algorithm in multiple X-ray views [Paper]
  • Threat Objects Detection in X-ray Images Using an Active Vision Approach [Paper]
  • Object recognition in X-ray testing using an efficient search algorithm in multiple views [Paper]
  • Modern Computer Vision Techniques for X-Ray Testing in Baggage Inspection [Paper]
  • Automated Detection of Threat Objects Using Adapted Implicit Shape Model [Paper]
  • A review of X-ray explosives detection techniques for checked baggage [Paper]
  • Explosives detection systems (EDS) for aviation security [Paper]

3D CT

  • Geometrical Approach for the Automatic Detection of Liquid Surfaces in 3D Computed Tomography Baggage Imagery [Paper]
  • Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening [Paper]
  • Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks [Paper]
  • 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests [Paper]
  • Investigating Existing Medical CT Segmentation Techniques within Automated Baggage and Package Inspection [Paper]
  • Radon Transform based Metal Artefacts Generation in 3D Threat Image Projection [Paper]
  • A Comparison of 3D Interest Point Descriptors with Application to Airport Baggage Object Detection in Complex CT Imagery [Paper]
  • A Distance Weighted Method for Metal Artefact Reduction in CT [Paper]
  • An Experimental Survey of Metal Artefact Reduction in Computed Tomography [Paper]
  • An Evaluation of CT Image Denoising Techniques Applied to Baggage Imagery Screening [Paper]
  • Fully Automatic 3D Threat Image Projection: Application to Densely Cluttered 3D Computed Tomography Baggage Images [Paper]
  • A Comparison of Classification Approaches for Threat Detection in CT based Baggage Screening [Paper]
  • A Novel Intensity Limiting Approach to Metal Artefact Reduction in 3D CT Baggage Imagery [Paper]
  • A 3D Extension to Cortex Like Mechanisms for 3D Object Class Recognition [Paper]
  • Object Recognition using 3D SIFT in Complex CT Volumes [Paper]
  • A Classifier based Approach for the Detection of Potential Threats in CT based Baggage Screening [Paper]
  • A review of automated image understanding within 3D baggage computed tomography security screening [Paper]
  • A volumetric object detection framework with dual-energy CT [Paper]
  • Exact Reconstruction for Dual Energy Computed Tomography Using an H-L Curve Method [Paper]
  • Automatic segmentation of CT scans of checked baggage [Paper]
  • Automatic Segmentation of Unknown Objects, with Application to Baggage Security [Paper]
  • ALERT Strategic Studies [Paper]
  • Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model [Paper]
  • Using Threat Image Projection Data Forassessing Individual Screener Performance [Paper]
  • 3D threat image projection [Paper]
  • Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security [Paper]

🐸 Reference

If you use this repo and like it, use this to cite it:

@misc{xray-vision,
      title={Xray-Vision: Brief history of X-ray security imaging in Computer Vision},
      author={Neelanjan Bhowmik},
      year={2024},
      url={https://github.com/NeelBhowmik/xray}
    }

🚀 Contribute

Welcome to our lively repository - and you're invited to join the party! Feel free to contribute!

If you spot a missing paper/dataset - create an issue.

Together, we'll make this repo the coolest gathering spot for all things knowledge 📚