catam-julia vs fastai

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catam-julia		fastai
	Project
1	Mentions	9
18	Stars	25,610
-	Growth	1.3%
0.0	Activity	8.0
over 2 years ago	Latest Commit	6 days ago
HTML	Language	Jupyter Notebook
MIT License	License	Apache License 2.0

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

catam-julia

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

Is there any tutorial that builds a program?
1 project | /r/Julia | 10 Aug 2021

Just found a couple of case studies based on mathematics, that look very good.

fastai

Posts with mentions or reviews of fastai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.

Cleared AWS Machine Learning - Specialty exam.. Happy to help!!!
2 projects | /r/AWSCertifications | 4 Apr 2023

Jeremy Howard's YouTube Channel - Jeremy maintains the fastai library, which is an excellent package that will help anyone build complicated ML architectures in minimum time. His YouTube Channel has a number of free courses which do an amazing job of covering a variety of ML topics, and he also maintains a very active forum for people studying ML.
Coding your own AI in 2023 with fastai
3 projects | dev.to | 27 Feb 2023

To create the AI we will use fastai. This is a python library, which is build on top of pytorch. No worries, you don't need to know how to code python. We will learn how this stuff works along the way :)
Fast.ai starts a corporate partnership program
2 projects | news.ycombinator.com | 17 Jan 2023

You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).
fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.
People tricking ChatGPT “like watching an Asimov novel come to life”
1 project | news.ycombinator.com | 2 Dec 2022

The "fastai" course is free, and does a really nice job walking you through building simple neural nets from the ground up:
https://github.com/fastai/fastai
What's going on here is the exact same thing, just much, much larger.
Programação letrada com Jupyter Notebook e Nbdev
3 projects | dev.to | 8 Nov 2022
Why noone uses nbdev for library development?
3 projects | /r/Python | 22 May 2022

Development NB: https://github.com/fastai/fastai/blob/master/nbs/09_vision.augment.ipynb
[D] What Repetitive Tasks Related to Machine Learning do You Hate Doing?
4 projects | /r/MachineLearning | 21 Feb 2022

There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai.
Good practices for neural network training: identify, save, and document best models
1 project | dev.to | 4 Jan 2022

If you are unaware of what fastai is, its official description is:
D I Refuse To Use Pytorch Because Its A Facebook
1 project | /r/MachineLearning | 29 Dec 2020

Also, not a single docstring to document any code in the library - https://github.com/fastai/fastai/blob/master/fastai/vision/learner.py

What are some alternatives?

When comparing catam-julia and fastai you can also consider the following projects:

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

bokeh - Interactive Data Visualization in the browser, from Python

fastbook - The fastai book, published as Jupyter Notebooks

Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.

PySyft - Perform data science on data that remains in someone else's server

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

ru-dalle - Generate images from texts. In Russian

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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.

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

pytorch-deepdream - PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.