car-damage-detection
fastbook
| car-damage-detection | fastbook | |
|---|---|---|
| 1 | 23 | |
| 19 | 20,749 | |
| - | 1.1% | |
| 0.0 | 3.5 | |
| almost 3 years ago | 22 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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car-damage-detection
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Implementing Detectron2 for car damage detection
Link to project : https://github.com/MrGrayCode/car-damage-detection
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.
What are some alternatives?
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
fastai - The fastai deep learning library
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Franklin.jl - (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Hands-On-Deep-Learning-Algorithms-with-Python - Hands-On Deep Learning Algorithms with Python, By Packt
food-recognition-benchmark-starter-kit - This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!
articulated-animation - Code for Motion Representations for Articulated Animation paper
GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
models - Models and examples built with TensorFlow