Modularity is hard when everyone wants to be an end-to-end #MLOps platform.
And it shouldn't be hard.
Imagine every #MLtool trying to be an end-to-end platform.
π§ If you are looking for a simple but powerful #MLtool, JADBio is right for you!
Create powerful models to extract insights from any data set with just a few clicks!Β
We provide a free basic plan to help you start! π
πjadbio.com/sign-up/#machinelearning#freebasicplan
π§ If you are looking for a simple but powerful #MLtool, JADBio is right for you!
Create powerful models to extract insights from any data set with just a few clicks!
We provide a free basic plan to help you start! π
rpb.li/jxuJpy#ml#nocode
π§ If you are looking for a simple but powerful #MLtool, JADBio is right for you!
Create powerful models to extract insights from any data set with just a few clicks!
We provide a free basic plan to help you start! π
πjadbio.com/sign-up/#machinelearning#freebasicplan
#MLtool#Python
Pillow, a PIL fork, is a common tool in the arsenal of most data scientists who work with images. This library provides support for various image formats, it's quite easy to use and very popular with Pythonistas.
Read more about it here:
bit.ly/3kcIWVu
#MLtool for image processing π€
An image is essentially an array of pixel values where each pixel is represented by 1 (greyscale) or 3 (RGB) values. Therefore, NumPy can easily perform tasks such as image cropping, masking, or manipulation of pixel values.
@numpy_team
#MLtool
To process a large amount of data efficiently without compromising the results, data scientists need to use image processing tools for ML and DL tasks.
In this article, we list the most useful image processing libraries in Python.
Have a look! πbit.ly/2SVJS4x
#MLtool#Caffe is a deep learning framework focused on image classification and segmentation.
Top features include:
βοΈComputation using blobs
βοΈEasy switching between CPU and GPU
βοΈHigh speed of work
Check other #ImageProcessing tools here bit.ly/2SmEebz
#MLtool@GoogleColab
is an extra useful research tool. Here's why we love it:
βοΈIt's a free Jupyter notebook environment
βοΈIt lets the user leverage backend hardware like GPUs and TPUs
βοΈNo setup
βοΈMakes it easy to collaborate on projects
colab.research.google.com/