SkinDeep
fastbook
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SkinDeep | fastbook | |
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16 | 23 | |
930 | 20,711 | |
- | 1.8% | |
3.1 | 2.6 | |
11 months ago | 13 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
SkinDeep
- [P] SkinDeep 2.0 : SkinDeep Tattoo removal project now powered by ControlNet. GitHub Link in comments/Images.
- Remove Tattoos using code, Close to Photoshop results
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Garments Crease/Wrinkles/Dirt Removal using AI/Computer Vision?
You should be able to use this and just train it on your own dataset: https://github.com/vijishmadhavan/SkinDeep
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SkinDeep model on video, I tried to use my tattoo removal model on Video, Please have a look. GitHub Link in comments.
GitHub Link : https://github.com/vijishmadhavan/SkinDeep
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Tattoos removed on video using Machine learning/AI. Loss of detail is evident but it's just a start. Is it any good?
Work is on, I believe it would provide better results with time. It does pretty good with photos, please have a look. https://github.com/vijishmadhavan/SkinDeep
- How to convert live video camera stream to sketch in real time [Project]
- Show HN: SkinDeep, Remove Tattoos Using Deep Learning
- SkinDeep, Remove Tattoos Using Deep Learning
- SkinDeep, Remove Tattoos using AI.
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Remove your Tattoos Using Deep Learning / Code Link is given in the comment
Code: https://github.com/vijishmadhavan/SkinDeep
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?
GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark
fastai - The fastai deep learning library
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
ydata-synthetic - Synthetic data generators for tabular and time-series data
Franklin.jl - (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
CatBox.NET - CatBox.NET is a library for interacting with the CatBox.moe website to upload images and create image albums
car-damage-detection - Detectron2 for car damage detection using custom dataset
Hands-On-Deep-Learning-Algorithms-with-Python - Hands-On Deep Learning Algorithms with Python, By Packt
REaLTabFormer - A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
articulated-animation - Code for Motion Representations for Articulated Animation paper