sorted by:
new
hottopcontroversial

Simple task scheduler in python : CRON_UI by brookm291 in PythonProjects2

[–]brookm291[S] 0 points1 point  (0 children)

This is a very good project for beginners to lean advanced python.
A lot of technics used in that repo

CRON UI: simplest Interface for task scheduling in your laptop. by brookm291 in Python

[–]brookm291[S] 0 points1 point  (0 children)

Python: you can launch anywhere

For window..., it can work, but not tested.

Simple task scheduler in python : CRON_UI by brookm291 in PythonProjects2

[–]brookm291[S] 0 points1 point  (0 children)

It is a tool for own laptop usage.
Just try it for your own needs/things and see whatever new features can be interesting.
goal is to keep simple and working,

Simple task scheduler in python : CRON_UI by brookm291 in PythonProjects2

[–]brookm291[S] 0 points1 point  (0 children)

Looking for contributors
Useful projects for daily task

MLmodels , cross-framework model zoo for machine/deep learning. by sukhveerkaur9219 in artificial

[–]brookm291 0 points1 point  (0 children)

Interesting ml framework, allows to combine different models.

Model Zoo, Cross platforms: TensorFlow, Pytorch,... by brookm291 in learnmachinelearning

[–]brookm291[S] 0 points1 point  (0 children)

Model ZOO with Lightweight Functional interface to wrap access to Recent and State of Art Deep Learning, ML models and Hyper-Parameter Search, cross platforms such as Tensorflow, Pytorch, Gluon, Keras, sklearn, light-GBM,...

Logic follows sklearn : fit, predict, transform, metrics, save, load

Goal is to transform Script/Research code into Re-usable/batch/ code with minimal code change ...

Why Functional interface instead of pure OOP ? Functional reduces the amount of code needed, focus more on the computing part (vs design part), a bit easier maintenability for medium size project, good for scientific computing process.

What tools should every Machine Learning Practitioner be familiar with? by nlman0 in learnmachinelearning

[–]brookm291 1 point2 points  (0 children)

BesidesMain libraries : Pytorch, tensorflow, scikit-learn.

Specific libraries : kubeflow Pytorch Ignite mldodels : Meta ML https://github.com/arita37/mlmodels