Skip to content
Menu
machinelearning.to
  • Home
  • Contact
machinelearning.to

Computer Vision Systems

  • Installing OpenCV
  • What is a vector?
  • What is a matrix?
  • 2D/3D Tranformations
    • Scaling
    • Rotration
    • Translation
  • How to split or merge color channels using OpenCV
  • How to manipulate and filter pixels using OpenCV
  • Convert color images to grayscale
  • Standardize images by resizing
  • Augment image data using transformations
    • cv2.warpaffine
  • Apply other image adjustments
  • Low pass filtering
    • Mean Filtering
    • Median Filtering
    • Gaussian Filtering
  • High pass filtering
    • Laplacian Filtering
      • Positive
      • Negative
  • Morphology
    • Dilation
    • Erosion
    • Opening
    • Closing
    • Skeletonization
  • Image Segmentation
    • Thresholding
    • Region-based Segmentation
  • Edge Detection
    • Canny Edge Detection
    • Sobel Edge Detection
    • Laplacian Edge Detection
  • Object Detection
    • Cascading Classifiers
  • Face Detection
  1. Collect
  2. Label
  3. Organize
  4. Process
  5. Train
  6. Deploy
  7. Display

Status: Online

All pages will be updated and added to, thank you for your patience!

Categories

Quick Links:

  • ML Tutorials
  • ML Everyday Challenge – Anjum Ismail
  • ML Discussions
  • ML Applications
  • ML News
  • ML Ops
  • ML Books
  • ML Careers
  • ML Researchers
  • ML Podcasts
  • ML Papers
  • ML Domains
  • ML Ethics
  • ML Certificate Programs
  • ML Degree Programs

Recent Posts:

  • Tutorials: Towards AI – Machine Learning Fundamentals
  • Tutorial: KDnuggets – Retraining the Model
  • Tutorial: Siddhardhan – Machine Learning Models
  • Tutorial: Siddhardhan – Machine Learning Projects
  • Tutorial: Siddhardhan – Python Basics for Machine Learning

RSS arxiv.org Computer Science – ML RSS Feed

  • Studying Limits of Explainability by Integrated Gradients for Gene Expression Models. (arXiv:2303.11336v1 [q-bio.GN])
  • Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design. (arXiv:2203.07120v3 [cs.LG] UPDATED)
  • CoReS: Compatible Representations via Stationarity. (arXiv:2111.07632v2 [cs.CV] UPDATED)
  • DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. (arXiv:2111.09543v3 [cs.CL] UPDATED)
  • Sharpness-aware Quantization for Deep Neural Networks. (arXiv:2111.12273v5 [cs.CV] UPDATED)

RSS arxiv.org Statistics – ML RSS Feed

  • Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data. (arXiv:2303.11379v1 [stat.ML])
  • Graph Kalman Filters. (arXiv:2303.12021v1 [cs.LG])
  • Long-tailed Classification from a Bayesian-decision-theory Perspective. (arXiv:2303.06075v2 [cs.LG] UPDATED)
  • Statistical Analysis of Karcher Means for Random Restricted PSD Matrices. (arXiv:2302.12426v3 [stat.ML] UPDATED)
  • Simplifying Momentum-based Riemannian Submanifold Optimization. (arXiv:2302.09738v2 [stat.ML] UPDATED)

Sites We Like:

  • madewithml
  • Mr. Daniel Bourke
  • Tech with Tim
  • https://pythonprogramming.net
  • geeksforgeeks
  • mlexpert
  • Chip Huyen
  • /r/MachineLearning
  • /r/LearnMachineLearning
  • machinelearningmastery
  • paperswithcode
  • towardsai
  • kdnuggets
  • Analytics Vidhya
  • William Rinehart – Resource DB

YouTube Channels We Like

  • Sentdex
  • freeCodeCamp.org
  • Clément Mihailescu
  • Tech With Tim
  • 3Blue1Brown
  • Aaron Jack
  • Statquest with Josh Starmer
  • Ken Jee
  • Daniel Bourke
  • DeepLearningAI
  • Mike Dane
  • Khan Academy
  • Keith Galli
  • Lex Fridman
  • Professor Leonard
  • Part Time Larry
  • Jon Krohn
  • Tübingen Machine Learning
  • Shai Ben-David
  • Krish Naik

Help support this site:

Buy me a coffee

©2023 machinelearning.to