iterative-grabcut VS machine_learning_basics

Compare iterative-grabcut vs machine_learning_basics and see what are their differences.

iterative-grabcut

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent. (by louisfb01)
grabcut grabcut-segmentation Background background-subtraction background-image iterative-methods OpenCV opencv-python opencv2 Python Python3 Notebook Notebooks notebook-jupyter
Source Code
louisbouchard.ai
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machine_learning_basics

Plain python implementations of basic machine learning algorithms (by zotroneneis)
Machine Learning logistic-regression ipynb machine-learning-algorithms linear-regression perceptron python-implementations kmeans Algorithm Python3 Python neural-network k-nearest-neighbours k-nearest-neighbor k-nn neural-networks
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iterative-grabcut machine_learning_basics
1 5
43 4,205
- -
0.0 0.0
over 2 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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iterative-grabcut

Posts with mentions or reviews of iterative-grabcut. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_basics

Posts with mentions or reviews of machine_learning_basics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-29.

What are some alternatives?

When comparing iterative-grabcut and machine_learning_basics you can also consider the following projects:

fastai - The fastai deep learning library

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

SmoothStream - Webcam, PiCamera streaming over the network with Python made easy.

100-Days-Of-ML-Code - 100 Days of ML Coding

PRML - PRML algorithms implemented in Python

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

CheekyKeys - Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures

mango - Parallel Hyperparameter Tuning in Python

BlockchainEngineering - Learn to think like a blockchain designer by solving practical challenges

trulens - Evaluation and Tracking for LLM Experiments

Steganography - Hiding Text and Image inside an Image

rmi - A learned index structure

iterative-grabcut vs fastai machine_learning_basics vs Financial-Models-Numerical-Methods iterative-grabcut vs SmoothStream machine_learning_basics vs 100-Days-Of-ML-Code iterative-grabcut vs PRML machine_learning_basics vs borb-google-colab-examples iterative-grabcut vs CheekyKeys machine_learning_basics vs mango iterative-grabcut vs BlockchainEngineering machine_learning_basics vs trulens iterative-grabcut vs Steganography machine_learning_basics vs rmi