deep-fast-vision
A Python library for rapid prototyping of deep transfer learning vision models. (by fabprezja)
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. (by d2l-ai)
| deep-fast-vision | d2l-en | |
|---|---|---|
| 4 | 6 | |
| 13 | 24,496 | |
| - | 1.9% | |
| 5.8 | 2.9 | |
| about 1 year ago | 5 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
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.
deep-fast-vision
Posts with mentions or reviews of deep-fast-vision.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
- Making deep transfer learning vision easier to work with, Deep Fast Vision (new python library)
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Deep Fast Vision (new python library): Easy Auto-ML for Deep Transfer Learning Vision. Prototype Your Experiments Fast with this New Python Library!
Comprehensive documentation for Deep Fast Vision is available both in the docs folder and at the documentation page.
d2l-en
Posts with mentions or reviews of d2l-en.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-10.
- which book to chose for deep learning :lan Goodfellow or francois chollet
- d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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How to pre-train BERT on different objective tasks using HuggingFace
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
-
The Transformer in Machine Translation
GitHub's article on Dive into Deep Learning
- D2l-En
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I created a way to learn machine learning through Jupyter
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.