rmi
fastai
| rmi | fastai | |
|---|---|---|
| 1 | 11 | |
| 52 | 26,173 | |
| - | 0.5% | |
| 0.0 | 7.9 | |
| almost 4 years ago | 13 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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.
rmi
fastai
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
[(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tduf4kyv9ezy5oz60pk1.png)](https://github.com/fastai/fastai)
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Notebooks Are McDonalds of Code
I'd say the fastai library itself[0] is a pretty good example of how maintainable/scalable practices can come to life in notebook flows. There's something to be said IMO for an active project with 25.8k stars, 238 contributers, 2.7k commits, and 199 open vs 1.5k closed issues.
[0] https://github.com/fastai/fastai/
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Cleared AWS Machine Learning - Specialty exam.. Happy to help!!!
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.
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Coding your own AI in 2023 with fastai
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 :)
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Fast.ai starts a corporate partnership program
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.
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People tricking ChatGPT “like watching an Asimov novel come to life”
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
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Why noone uses nbdev for library development?
Development NB: https://github.com/fastai/fastai/blob/master/nbs/09_vision.augment.ipynb
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[D] What Repetitive Tasks Related to Machine Learning do You Hate Doing?
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.
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Good practices for neural network training: identify, save, and document best models
If you are unaware of what fastai is, its official description is:
What are some alternatives?
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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]
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
fastbook - The fastai book, published as Jupyter Notebooks
google-research - Google Research
Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
PySyft - Perform data science on data that remains in someone else's server
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)