https://github.com/kbdharun/dl-lab

This repository contains the programs that I worked out in the Deep Learning Essentials Laboratory.
https://github.com/kbdharun/dl-lab

college deep-learning dl ipynb jupyter-notebook machine-learning ml python sastra university

Last synced: 3 days ago
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This repository contains the programs that I worked out in the Deep Learning Essentials Laboratory.

• Host: GitHub
• URL: https://github.com/kbdharun/dl-lab
• Owner: kbdharun
• License: unlicense
• Archived: true
• Created: 2024-07-17T12:13:25.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-14T03:45:00.000Z (about 1 month ago)
• Last Synced: 2024-11-13T08:41:16.417Z (3 days ago)
• Topics: college, deep-learning, dl, ipynb, jupyter-notebook, machine-learning, ml, python, sastra, university
• Language: Jupyter Notebook
• Homepage:
• Size: 10.5 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Deep Learning Lab Programs

[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kbdharun/DL-Lab)

This repository contains the programs that I worked out in Deep Learning Essentials Laboratory.

## Prerequisites

Python and packages in `requirements.txt` file installed.

> [!NOTE]

> You can install all the required packages using the command `pip install -r requirements.txt`.

### Working with Conda

If you are using `conda` to manage your environments, you can create a new environment for this repository with the command `conda create -n ml-lab` and activate it with the command `conda activate ml-lab`.

> [!TIP]

> For faster environment solving in Conda, I would suggesting using the `libmamba` solver. You can set it as the default solver using the command `conda config --set solver libmamba`.

Then, you can install all the required packages using the command `conda install --file requirements.txt`.