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  1. The career of Eric SOUPET
  • category Media Lab
  • category Newspaper
  • category Blog
  1. Build Email List in Real-time
  2. PHP create_function()
  3. Bug strtolower
  4. Bug strtoupper
  5. Robot d'indexation crawler, bot et spider
  6. Let's reinvent Artificial Intelligence
  • category Careers
  • category Start'up
  1. Communication Department
  2. Artificial Intelligence Innovation Research and Development Department
  3. Humanoid Research and Development Department
  • category Our brand
  • category Landing pages
  • category Chat
  • category Platform Security
  • category Contemporary predictive AI
  • category Humanoid Robotics (Strong AI)
  • category Autonomous vehicle
  • Requires to be registered on the platform and to be a partner of elodees. Autonomous vehicle
  1. Requires to be registered on the platform and to be a partner of elodees. Vision of autonomous vehicles
  2. Requires to be registered on the platform and to be a partner of elodees. Detection of objects and living beings by infrared
  3. Requires to be registered on the platform and to be a partner of elodees. Motion Detection
  4. Automatic Parking
  5. Motion Planning
  6. Streamlit - Demonstration self driving (YOLO)
  7. Road lane Finding
  • category Regulations
  • category Planet
  1. Carbon dioxide CO2
  2. Methane CH4
  3. Nitrous oxide N2O
  4. Sulfur hexafluoride SF6
  5. Nitrogen trifluoride NF3
  • category Artificial Intelligence (AI)
  1. The Attention
  1. Articles on the digital law of Artificial Intelligence
  1. Articles on the interaction between artificial intelligence and sociology
  1. Articles on the interaction between Artificial intelligence and anthropology
  1. Articles on the interaction between Artificial intelligence and human and social sciences
  1. Articles on the Interaction Between Artificial Intelligence and History
  1. Articles on the interaction between artificial intelligence and psychology
  1. Articles on the interaction between artificial intelligence and philosophy
  1. Articles on the interaction between artificial intelligence and epistemology
  1. Large-scale brain modelling Nengo
    ImageJ - Distribution of software for the processing and analysis of scientific images
      Fiji distribution of ImageJ


    ITK - The toolkit for scientific image processing and analysis
  1. AI for the environment
    recyclingSorting of waste by image processing
    recyclingSmart and connected sorting for the waste recycling industry
  2. AI for health
    local_hospitalMedical imaging by image processing
    local_hospitalMD.ai - The platform for medical AI
    local_hospitalConvert NRRD format to image
    local_hospitalConvert MHA format to PNG image
    local_hospitalConvert MHD format to PNG image
    local_hospitalConvert NII format to PNG image
    local_hospitalConvert DCM (dicom) format to PNG image
    local_hospitalLaplacian pyramid
    local_hospitalChest Disease Detection Using CNN
    local_hospitalTomography
  3. AI for humans
    emoji_objectsRecognition of objects by image processing

    directions_busbluetooth_drivemopedelectric_carImage processing for autonomous vehicles
  4. AI for industry
    factoryImage processing for industry
    factoryIndustry 4.0
  5. AI for Agriculture
    agricultureImage processing for agriculture
    agricultureSustainable agriculture thanks to Artificial Intelligence
  6. Frugal AI
  7. Ethical AI
  8. Explainable AI
  9. Trustworthy AI
  10. Governance AI
  11. Emotional AI
  12. Generative AI
  13. Marketing AI
  14. Strategy AI
  15. Business AI
  16. Cyber Security AI
  • category Artificial General Intelligence (AGI)
  1. Frugal innovations
  2. Knowledge transfer
  3. Adaptive learning models (ALM)
  • category NLP Natural Language Processing
  1. Generative Pre-trained Transformer (GPT)
  • category 2D and 3D image reconstruction
  1. Delaunay Triangulation On 2D Images
  2. Delaunay triangulation demonstration
  3. Delaunay triangulation applied to an image
  4. Delaunay triangulation 3D demonstration
  1. Demonstration of drawing quadratic and cubic bezier curves
  2. Dynamic Drawing of Bezier Curves
  3. A simple simulation that shows how Bézier curves are drawn
  4. 3D quadratic bezier curves
  • category Quantum mechanics
  1. Albert Einstein
  2. Max Karl Ernst Ludwig Planck
  3. Paul Adrien Maurice Dirac
  4. Max Born
  5. Niels Henrik David Bohr
  6. Marie Salomea Skłodowska-Curie
  7. Werner Karl Heisenberg
  8. Wolfgang Ernst Pauli
  9. Erwin Rudolf Josef Alexander Schrödinger
  10. Ernst Pascual Jordan
  11. Peter Ware Higgs
  12. John Stewart Bell
  13. Louis Victor Pierre Raymond de Broglie
  14. Boris Yakovlevich Podolsky
  15. Nathan Rosen
  16. Richard Phillips Feynman
  17. Pieter Zeeman
  18. Hendrik Antoon Lorentz
  19. Paul Langevin
  1. Graphene
  1. Quantum entanglement
  2. Quantum computers
  3. Quantum decoherence
  4. Quantum superposition
  5. The wave-particle duality
  6. Quantum Field Theory
  7. Quantum quantization
  8. Quantum gravity
  9. Quantum vacuum energy
  10. Quantum Hall effect
  11. Quantum supersymmetry
  12. Quantum string theory
  13. Quantum electrodynamics
  14. The Quantum Uncertainty Principle
  15. Quantum exclusion principle
  16. Schrödinger's equation
  17. Higgs boson
  18. Désintégration bêta
  19. Quantum superstring theory
  20. Inequalities by John Stewart Bell
  21. Quantum tunneling effect
  22. Paradoxe EPR
  23. Nuclear fission
  24. The Copenhagen interpretation
  25. The zeeman effect
  26. Langevin equation and dynamics
  27. Young's Double Slit
  1. Fusion nucléaire
  2. Requires to be registered on the platform and to be a partner of elodees. The fuel cell
  3. Decomposition of water into Oxygen and Hydrogen
  • category Fractal


Tensorflow playground
Tensorflow playground
Tensorflow playground
Tensorflow playground
Tensorflow playground
Tensorflow playground


  1. Times Table and Mandelbrot set
  2. Mandelbrot and Julia generator
  3. Focus on Mandelbrot
  4. Mandelbrot and Julia Fractals
  • category Technology and science
  1. Voronoi diagramme demonstration
  2. Filter with voronoi and delaunay mosaic effect
  • category Programming language
  • category Computer vision
  1. The human eye and color perception
  2. History of photography
  3. Generate pixels from the photosites of a sensor
  4. The difference between image resolution and image definition
  5. Moire effect
  6. White light
  7. Demosaicing
  8. White balance

    1. Correcting Improperly White-Balanced Images
    2. Color temperature
    3. JS white balance

  9. Tone Curve
  10. The photo exposure
  11. Geometric corrections
  12. Correction of chromatic aberrations
  13. Noise reduction in photos
  14. Photo accentuation
  15. jpeg compression
  16. Bryce Edward Bayer
  17. Light receptors
  18. The faults of camera sensors
  19. Fix Image Imperfections
  20. Chromatic Aberration
  21. Spherical Aberration
  22. Aliasing and Anti-aliasing
  23. elodees
    Requires to be registered on the platform and to be a partner of elodees. Remove anti-aliasing from an image
  24. elodees
    Requires to be registered on the platform and to be a partner of elodees. Raw image processing for pattern recognition for artificial intelligence
  25. FUJI XTrans file raw (.RAF) processing using a pre-trained deep CNN machine-learning model
  26. The RAW format in photography
  27. Raw image processing
  28. Adjust exposure of RAW image
  29. Image Settings
  30. How does a photo sensor work ?
  31. The Bayer Grid
  32. Convert RAW to JPEG format without post processing
  33. Convert DNG to JPEG format without post processing
  34. Convert CR2 to JPEG format without post processing
  35. Convert RAW to TIFF format without post processing
  36. Convert raw image in png format to grayscale
  37. Convert NEF format to JPEG
  38. Convert EXR format to JPEG and PNG format
  39. HDR (high dynamic range) graphic file
  1. HAAR feature detection based on Viola-Jones
  1. Filters on images
  2. Filters using histograms
  3. R G B color histogram of an image
  4. Contrast applied to an image
  5. Brightness applied to an image
  6. Gamma correction applied to an image
  7. Solarization applied to an image
  8. Smoothing applied to an image
  9. Global thresholding by cumulative histogram applied to an image
  10. Change the number of gray levels in an image
  11. Bilateral filter applied to an image
  • Requires to be registered on the platform and to be a partner of elodees. Face detection
  1. Characterization of a face
  1. Linear Kalman filter 1D
  2. Multi variables Kalman filter 2D
  3. Demonstration of mouse tracking via the Kalman filter
  1. Gaussian applied to an image
  2. Gaussian pyramid
  3. Mixtures of Gaussians
  4. Gaussian Mixture Models (GMM)
  5. Gaussian Processes
  6. Variational Mixture of Gaussians
  7. Variational Univariate Gaussian
  1. Bilinear interpolation
  2. Bicubic interpolation
  3. Nearest neighbor interpolation
  4. JS nearest neighbor interpolation
  1. Bilinear Upsampling
  2. Bilinear Downsampling
  3. Linear autoencoder
  4. Convolutional autoencoder
  5. Denoising autoencoders
  6. Remove background noise from text with CNN Auto Encoder
  7. Image denoising with CNN
  8. Sparse Autoencoder Neural Networks
  9. Variational autoencoder Neural Networks (VAE)
  10. Conditional Variational autoencoder Neural Networks (CVAE)
  11. Variational Recurrent Auto-Encoders
  12. Categorical Variational Auto-Encoders
  13. Convolutional variational auto-encoders
  1. Discrete Fourier Transform DFT
  1. Convolution of an image with a Gabor filter
  1. Gabor wavelets
  2. Morlet wavelet
  3. Ricker wavelet
  4. Shannon wavelet
  5. Daubechies wavelet
  6. Haar wavelet
  7. Meyer wavelet
  8. Mexican Hat wavelet
  9. Gaussian wavelet
  10. Cardinal sine
  1. Rayleigh image noise
  2. Exponential image noise
  3. Uniform image noise
  4. Erlang gamma image noise
  5. Impulse salt and pepper image noise
  6. Speckle image noise
  7. Poisson image noise
  8. Gaussian image noise
  1. Harris Feature Detection
  2. Fast Feature Detection
  3. Shi Tomasi Feature Detection
  4. Moravec Feature Detection
  5. SUSAN Feature Detection
  1. ORB Feature Detection
  2. Brief Feature Detection
  3. Sift Feature Detection
  4. Brisk Feature Detection
  5. KAZE Feature Detection
  6. AKAZE Feature Detection
  7. FREAK Feature Detection
  8. SURF Feature Detection
  1. Demonstration of the Hough transformation
  2. Hough lines Feature Detection
  3. Hough circles Feature Detection
  1. Erosion and dilation
  2. Skeleton an image
  3. Skeletonization by thinning an image
  4. Fingerprint
  1. LIME Low-Light Illumination Map Estimation
  2. Histogram equalization
  3. Enhancing Contrast by Histogram Equalization
  4. Displaying Hidden Details of an Image by Contrast Adjustment Method Using Histogram
  5. Cumulative sum of histogram applied to an image
  6. Logarithmic correction applied to an image
  7. Linear correction applied to an image
  1. Convolution matrix
  2. Convolution product
  3. Visualization of convolution on pairs of simple functions
  4. Convolution filter weights
  1. Facial recognition
  1. TensorflowJS Face api
  2. OpenCV JS Face api
  3. Face api JS
  4. elodees AI JS Face api
  1. Image segmentation demonstration
  2. Image segmentation by instance
  3. Semantic image segmentation
  4. Segmentation of regions by watershed line
  5. Image detection
  6. Superpixel segmentation
  7. Mask R-CNN
  8. Fast R-CNN
  9. Faster R-CNN
  10. RPN Region Proposal Network
  1. Otsu thresholding
  2. Yen thresholding
  3. Minimum thresholding
  4. Local thresholding
  5. Lis thresholding
  6. Mean thresholding
  7. Trunc thresholding
  8. Simple thresholding
  9. Mean and Gaussian adaptive thresholding
  10. Max entropy thresholding
  11. Tozero thresholding
  1. Image Quantization
  2. k means Image Color Quantization
  1. Prewitt filter
  2. Sobel filter
  3. Gaussian Laplacian filter
  4. Gaussian Difference filter
  5. Kirsch filter
  6. Robinson filter
  7. Outline filter
  8. Roberts filter
  9. Scharr filter
  10. Marr hildreth Feature Detection
  11. Canny Feature Detection
  12. Canny Edge Finder
  13. Canny edge detection process
  1. Streamlit - Demonstrating the Deep Dream technique
  • category Transfert learning
  • category Supervised learning
  1. KNN Classification Algorithm
  2. Hierarchical Ascending Classification (HAC)
  3. SVM Support Vector Machine
  4. Relevance Vector Machine
  5. Naïve Bayes
  6. Bayesian inference
  7. Bayesian Learning in a Linear Basis Function Model
  8. Posterior predictive distribution
  9. Classification trees
  1. PCR Principal Component Regression
  2. PLS regression
  3. Linear regression
  4. Polynomial regression
  5. Logistic regression
  6. Variational Logistic Regression
  7. Ridge regression
  8. Lasso regresssion
  9. Advanced regression
  10. Bayesian linear regression
  11. Conditional Mixture Models linear regression
  12. Conditional Mixture Models Logistic regression
  13. Regression trees
  1. Boosting Adaboost
  2. Boosting XGBoost
  3. Boosting LightGBM
  4. Boosting gradient
  1. LDA Linear Discriminant Analysis
  • category Semi supervised learning
  • category Unsupervised learning
  1. Hierarchical clustering
  2. K-means clustering
  3. Mean Shift clustering
  4. Expectation maximisation clustering
  5. DBSCAN Density Based Spatial Clustering of Applications with Noise
  6. GMM Gaussian Mixture Model clustering
  7. Affinity propagation clustering
  8. OPTICS Ordering points to identify the clustering structure
  9. BIRCH Balanced Iterative Reducing and Clustering using Hierarchies Clustering
  10. CURE clustering
  11. Flat clustering
  12. Centroid-based clustering
  13. Density-based clustering
  14. Distribution-based clustering
  15. Connectivity-based clustering
  16. Mini-batch K-means Clustering
  17. Ward's hierarchical clustering
  18. Agglomerative clustering
  19. Divisive Clustering
  20. The different existing similarity measures
  21. Model-based clustering
  22. COBWEB clustering
  1. Apriori algorithm
  2. Eclat algorithm
  3. FP-growth algorithm
  • category Reinforcement learning
  1. Several frameworks to move to reinforcement learning
  • category Fuzzy logic
  • category Intelligent Agents
  • category Genetic Algorithm Learning
  1. Genetic Drawing
  2. Image genetic reconstruction
  3. Paradox of the learned monkey
  • category Dataset
  1. Data lake
  2. Open data
  3. What web databases are available ?
  4. Data bases
  5. Processing large data sets
  6. Topological Data Analysis (TDA)
  7. Data processing lambda architecture
  8. What is the certification of a database ?
  9. DataOps
  10. Categorical data
  11. Quantitative data
  12. Missing data
  13. Splitting Data for Machine Learning Models
  • category Data visualization
  • category Machine Learning and Deep Learning
  1. Deep fakes are becoming more realistic thanks to new technology
  1. Streamlit - Code Generator for Machine Learning
  2. Bagging in machine learning
  3. Bootstrapping in machine learning
  1. Stochastic gradient descent
  2. Batch gradient descent
  3. Mini-batch gradient descent
  1. Markov
  2. Hidden Markov Models
  3. Markovian decision process
  1. The Gamma Distribution
  2. Student's t distribution
  3. Predictive distribution for Bayesian Linear Regression
  4. Mixture of Bernoulli Distributions
  1. Rejection Sampling
  2. Adaptive Rejection Sampling
  3. Gibbs Sampling
  4. Slice Sampling
  1. The Hybrid Montecarlo Algorithm
  2. Markov chain montecarlo
  1. Recurrent Neural Network
  2. Bidirectional Recurrent Neural Networks
  3. Hopfield neural network
  4. Feedforward Neural Network
  5. Convolutional Neural Network
  6. Graph convolutional network (GCN)
  7. Graph neural network (GNN)
  8. Graph attention network (GAT)
  9. Graph auto-encoders (GAE)
  10. Deep Convolutional Generative Adversarial Networks (DCGAN)
  11. Wasserstein Generative Adversarial Networks (WGAN)
  12. Neural Style Transfer (NST)
  13. Auxiliary Classifier Generative Adversarial Networks (ACGAN)
  14. Bidirectional Generative Adversarial Networks (BiGAN)
  15. Stack Generative Adversarial Networks (StackGAN - SGAN)
  16. Pix2Pix
  17. Least Squares Generative Adversarial Networks (LSGAN)
  18. Context encoder
  19. Semi-supervised generative adversarial networks (SGAN)
  20. Coupled Generative Adversarial Networks (CoGAN)
  21. Conditional Generative Adversarial Networks (CGAN)
  22. Information Maximizing Generative Adversarial Networks (InfoGAN)
  23. Unsupervised Dual Learning Generative Adversarial Networks (DualGAN)
  24. Super-Resolution Generative Adversarial Networks (SRGAN)
  25. Wasserstein Generative Adversarial Networks with Gradient Penalty Generative Adversarial Networks (WGAN_GP)
  26. Context-Conditional Generative Adversarial Networks (CCGAN)
  27. Continuous Conditional Generative Adversarial Networks (CcGAN)
  28. Cycle Generative Adversarial Network (CycleGAN)
  29. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN)
  30. Style Generative Adversarial Networks (StyleGAN)
  31. Unsupervised Pixel-Level Domain Adaptation Generative Adversarial Networks (PixelDA)
  32. Deep Regret Analytic Generative Adversarial Networks (DRAGAN)
  33. Boundary Equibilibrium Generative Adversarial Networks (BEGAN)
  34. Energy-based Generative Adversarial Network (EBGAN)
  35. Generative Adversarial Networks for Photo Cartoonization (CartoonGAN)
  36. Generative Adversarial Networks for video Cartoonization (AnimeGAN)
  37. Generating adversarial network from a Single Image Natural for image manipulation (Sin-GAN)
  38. Self-Supervised generative adversarial network (SSGAN)
  39. Deblur Generative Adversarial Networks (DeblurGAN)
  40. Denoising using Generative Adversarial Network
  41. Deraining using Generative Adversarial Network
  42. Oversized images with super resolution using generative adversarial networks
  43. Streamlit - Le générateur de visage GAN contrôlable (Face-GAN)
  44. Lip-Syncing
  45. CNN Face makeup
  46. Facial Image Manipulation (MaskGAN)
  47. Semantic Image Synthesis (GauGAN)
  48. Socially Acceptable Trajectories with Generative Adversarial Networks (SocialGAN)
  49. Siamese neural network
  50. Backpropagation neural network
  51. Error Backpropagation
  52. Mixture Density Networks
  53. Spiking Neural Network (SNN)
  54. Probabilistic Semantic Inpainting with Pixel Constrained CNNs (PixelCNNs)
  55. Convolutional Neural Networks (CNNs) ConvNets Calculator
  56. Liquid state machine
  57. The formal neuron called the perceptron
  58. The simple perceptron - The Rosenblatt Perceptron
  59. The Artificial Neural Network or Multilayer Perceptron
  60. Auto-Encoder Neural Network
  61. Generative Adversarial Network (GAN)
  62. MeshCNN
  63. Long-Short-Term Memory Networks
  64. Activation functions
  65. Activation maximization
  66. Batch Normalization
  67. Attention layer
  68. Layers of neural networks
  69. Pooling layer
  70. Unpooling
  71. Pooling vs Unpooling
  72. Global average pooling (GAP)
  73. Flattening layer
  74. Densing layer
  75. Concatenate layer
  76. Transposed convolutional layer
  77. Dropout layer
  78. Image augmentation layer
  79. Data augmentation
  80. Visual Geometry Group VGG
  81. Visualize the images with VGG16 model
  82. Visualisation tool for CNNs
  83. Visualizing Filter Patterns CNNs
  84. CNNs Feature Visualization
  85. CNN Visualizer
  86. Visualize the processing that occurs in each layer of convolutional neural networks
  1. Predictive analysis
  2. Creation of predictive models
  3. Pre-trained models
  4. Streamlit - COCO dataset explorer
  5. Generative model
  6. Discriminant model
  7. Run Keras models in the browser with GPU support using WebGL
  1. Universal approximation
  2. The Evidence Approximation
  1. Kernel Density Estimation
  2. Maximum a posteriori estimation
  3. Maximum likelihood estimation
  4. Maximum Likelihood estimation vs Maximum A-posteriori estimation
  1. Restricted Boltzmann machine
  • category GitHub
  • category Capital investment
  • category Recognition of the language spoken by a human
  • category Language
  • category Robots
  • category SaaS Email application
  • category Naming applications
  • category Sketches - Drawings
  • category Free applications
  • category Free apps for developers
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Welcome, my name is Eric Soupet and I am the administrator of the site elodees.com. elodees.com is a state of the art of Artificial Intelligence and aims to be collaborative, you can now offer content such as articles, events, tutorials, ... so don't hesitate !

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