https://github.com/emptymalei/deep-learning

time series forecasting with deep learning
https://github.com/emptymalei/deep-learning

contrastive-model deep-learning forecasting gan generative-model machine-learning python self-supervised-learning

Last synced: 2 months ago
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time series forecasting with deep learning

• Host: GitHub
• URL: https://github.com/emptymalei/deep-learning
• Owner: emptymalei
• Created: 2021-08-20T21:28:10.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-07T20:12:18.000Z (3 months ago)
• Last Synced: 2024-10-11T01:54:35.485Z (3 months ago)
• Topics: contrastive-model, deep-learning, forecasting, gan, generative-model, machine-learning, python, self-supervised-learning
• Language: TeX
• Homepage: https://emptymalei.github.io/deep-learning
• Size: 23.1 MB
• Stars: 25
• Watchers: 6
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Deep Learning

When I switched to data science, I built [my digital garden, datumorphism](https://datumorphism.leima.is/). I deliberately designed this digital garden as my second brain. As a result, most of the articles are fragments of knowledge and require context to understand them.

Making bricks is easy but assembling them into a house is not. So I have decided to use this repository to practice my house-building techniques.

I do not have a finished blueprint yet. But I have a framework in my mind: I want to consolidate some of my thoughts and learnings in a good way. However, I do not want to compile a reference book, as [datumorphism](https://datumorphism.leima.is/) already serves this purpose. I should create stories.

## How to Contribute

This repository contains mostly markdown files. To make sure we have the same conventions, we have added markdownlint tools to pre-commit. So please install [pre-commit](https://pre-commit.com/) then run the following command the first time you cloned the repository.

```bash

pre-commit install

```

### Preview Requires Python

Install the requirements using

```

poetry install

```

Preview the docs:

```python

poetry run mkdocs serve -s

```

### Developing Notebooks

We use jupytext to sync the `.py` files to `.ipynb` files. `.ipynb` files are ignore in git.

Please pair the `.py` file with the `.ipynb` using jupytext in jupyterlab first.

### Optional Requirements

> The pdf generation is done by the [mkdocs-with-pdf](https://github.com/orzih/mkdocs-with-pdf) plugin.

To generate PDF locally, please install [cairo, Pango and GDK-PixBuf ](https://doc.courtbouillon.org/weasyprint/latest/first_steps.html#macos).

#### Install pango on Mac

When installing pango on Mac using homebrew, the path for `DYLD_LIBRARY_PATH` are not automatically updated. So we need to add the correct path for pango, harfbuzz, and fontconfig. For example,

```

export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/Users/itsme/homebrew/Cellar/pango/1.48.8/lib:/Users/itsme/homebrew/Cellar/harfbuzz/2.8.2/lib:/Users/itsme/homebrew/Cellar/fontconfig/2.13.1/lib

```