fastbook
Franklin.jl
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| fastbook | Franklin.jl | |
|---|---|---|
| 23 | 5 | |
| 20,711 | 925 | |
| 1.8% | - | |
| 2.6 | 6.6 | |
| 15 days ago | 10 days ago | |
| Jupyter Notebook | Julia | |
| GNU General Public License v3.0 or later | MIT License |
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fastbook
- The fastai book, published as Jupyter Notebooks
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fast.ai Book in Rust - Chapter 2 - Part 1
This chapter focuses on defining the DataLoader classes and a Bing Image Search downloader that is provided with the fastai library. We're not going to implement a Bing downloader. That is too much work for something that could be a crate on its own. Please feel free to write such a crate, though, the world could use one.
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Fastai Chapter 4 - The important parts, Part 2: Building a regression model
The book is available online here The course is accessible here
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Need help trying to run Fastai notebooks on kaggle.
Fastai Lesson 2 notebook
- Fast.ai's Practical Deep Learning for Coders Has Been Updated
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How can i as 15 years old start learning machine learning, i watched some python courses on youtube but it covered the basics and I want to go more in depth. Are there any books, online courses, etc.. I cant really pay for anything so no paid courses. Thank you
I recently read the FastAI book from O'Reilly, which is also published as a series of notebooks on GitHub here. I personally liked it because it shows how to obtain a working model trained with modern techniques without delving too much in the low-level details.
- [D] Recommendation of books to achieve a deeper knowledge of the field
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I recently got a bit of money from my grandparents to get myself a present and I wanted to get a good Python book. Which book would you recommend?
I recommend fastai-fastbook. I just started myself though it’s a coupled with tools and a way of working that may help you including being and to create and publish python packages from a jupyter notebook using nbdev
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“Perceptron” paved the way for AI 60 years too soon (2019)
The fastai book actually makes a nice comparison between the systems described in PDP and modern deep learning.
> In fact, the approach laid out in PDP is very similar to the approach used in today's neural networks.
From: https://github.com/fastai/fastbook/blob/master/01_intro.ipyn...
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Starting a career as a Python developer
I’m a fan of fast book by fastai.
Franklin.jl
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Math on GitHub: Following Up
A few weeks ago I discovered Franklin.jl ([0], [1]). It has direct KaTeX support and I've been pleased with the results. There is no need for adding or tweaking things unlike Jekyll or Hugo. And KaTeX is faster than MathJax in general.
[0] https://0x0f0f0f.github.io/blog/newblog/
[1] https://franklinjl.org/
- Building Static Websites in Julia
- Franklin: A static site generator in Julia
- Crash Course Category Theory – C3T
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Dataflowr – Deep Learning DIY
Awesome resource
The website is built in julia with https://github.com/tlienart/Franklin.jl, Cool!
Would be interesting to have it teach DL in Julia as well.
What are some alternatives?
fastai - The fastai deep learning library
Weave.jl - Scientific reports/literate programming for Julia
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Makie.jl - Interactive data visualizations and plotting in Julia
car-damage-detection - Detectron2 for car damage detection using custom dataset
Plots.jl - Powerful convenience for Julia visualizations and data analysis
Hands-On-Deep-Learning-Algorithms-with-Python - Hands-On Deep Learning Algorithms with Python, By Packt
cocalc - CoCalc: Collaborative Calculation in the Cloud
articulated-animation - Code for Motion Representations for Articulated Animation paper
personal-site - A personal site about software development
models - Models and examples built with TensorFlow
yassg - A super simple static site generator written in python.