https://github.com/gsmrana/deep-learning-starter

A collection of various deep learning model architectures using TensorFlow, Keras, PyTorch and Lightning AI
https://github.com/gsmrana/deep-learning-starter

keras-tensorflow lightningai machine-learning pytorch tensorflow

Last synced: 2 months ago
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A collection of various deep learning model architectures using TensorFlow, Keras, PyTorch and Lightning AI

• Host: GitHub
• URL: https://github.com/gsmrana/deep-learning-starter
• Owner: gsmrana
• License: mit
• Created: 2025-08-24T14:02:39.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-08-27T15:18:41.000Z (10 months ago)
• Last Synced: 2025-08-28T00:32:18.895Z (10 months ago)
• Topics: keras-tensorflow, lightningai, machine-learning, pytorch, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 3.27 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Deep Learning Starter

A collection Deep Learning project Jupyter Notebook using PyTorch, TensorFlow and Transformers frameworks.

## Environment Setup (uv)

Install Python and UV Package Manager

https://docs.astral.sh/uv/getting-started/installation

```

winget install --id Python.Python.3.12

winget install --id=astral-sh.uv  -e

```

Install packages in a virtual environment

```

uv sync

cp .env.sample .env

```

Upgrade all packages

```

uv lock --upgrade

uv sync

```

## Environment Setup (pip)

Install packages in a virtual environment

Windows

```

python -m venv .venv

.venv\Scripts\activate

pip install -r requirements.txt

```

Linux

```

sudo apt install python3 python3-pip python3-venv -y

python3 -m venv .venv

source .venv/bin/activate

pip3 install -r requirements.txt

```

Select virtual environment in VS Code to run the Notebook

## GPU Support Check

```

uv run scripts\gpu_support_check.py

```