https://github.com/mateuszk098/computer-vision-nets

Some neural network architectures implementation.
https://github.com/mateuszk098/computer-vision-nets

deep-learning neural-networks python pytorch resnet yolo

Last synced: 2 months ago
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Some neural network architectures implementation.

• Host: GitHub
• URL: https://github.com/mateuszk098/computer-vision-nets
• Owner: mateuszk098
• License: unlicense
• Created: 2024-09-06T18:50:37.000Z (8 months ago)
• Default Branch: master
• Last Pushed: 2025-02-15T12:22:44.000Z (3 months ago)
• Last Synced: 2025-02-15T13:26:33.291Z (3 months ago)
• Topics: deep-learning, neural-networks, python, pytorch, resnet, yolo
• Language: Python
• Homepage:
• Size: 8.46 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# **Computer Vision Nets**

![Static Badge](https://img.shields.io/badge/python-3.13-blue?style=for-the-badge&logo=python&logoColor=white&color=%234584b6)

![GitHub last commit](https://img.shields.io/github/last-commit/mateuszk098/computer-vision-nets?style=for-the-badge&color=%23fa9537)

Some neural network architectures implementation:

- ResNet (Deep Residual Learning for Image Recognition) → 

- YOLOv1 (You Only Look Once: Unified, Real-Time Object Detection) → 

- YOLOv2 (YOLO9000: Better, Faster, Stronger) → 

- Variational Autoencoder (Auto-Encoding Variational Bayes) → 

- UNet (U-Net: Convolutional Networks for Biomedical Image Segmentation) → 

Build the project with uv → :

```bash

# If cuda is available.

uv sync --extra cu126

```

```bash

# If cuda is not available.

uv sync --extra cpu

```