https://github.com/pm25/deep-learning-projects
⚓ Examples of deep learning projects using Pytorch.
https://github.com/pm25/deep-learning-projects
deep-learning example-project machine-learning pytorch tutorial
Last synced: 3 months ago
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⚓ Examples of deep learning projects using Pytorch.
- Host: GitHub
- URL: https://github.com/pm25/deep-learning-projects
- Owner: PM25
- License: mit
- Created: 2023-02-07T06:37:03.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-15T06:14:37.000Z (about 3 years ago)
- Last Synced: 2025-03-11T08:50:52.721Z (about 1 year ago)
- Topics: deep-learning, example-project, machine-learning, pytorch, tutorial
- Language: Python
- Homepage:
- Size: 29.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Deep Learning Projects
This repository contains a collection of deep learning projects that showcase the capabilities of deep learning and provide inspiration for your own projects.
> **Warning**
> This project is currently in development, and many examples are not yet available.
## Table of Content
- [Vision](#vision)
- [Text](#text)
- [Audio](#audio)
- [Semi-Supervised Learning](#semi-supervised-learning)
- [Unsupervised Learning](#unsupervised-learning)
- [Reinforcement Learning](#reinforcement-learning)
- [Active Learning](#active-learning)
- [Multi-Task Learning](#multi-task-learning)
- [Few-Shot Learning](#few-shot-learning)
## Vision
### Image
- [Image Classification](./vision/image%20classification) - Classifying images into different categories.
- Multi-Label Image Classification
- Image Object Detection - Locating and identifying objects within an image.
- Image Super Resolution - Enhancing the quality of an image.
- Image Generation - Generating images.
### Video
- Video Classification - Classifying videos into different categories.
- Multi-Label Video Classification
## Text
- [Text Classification](./text/text%20classification) - Sorting text (e.g. sentence, paragraph) into different categories.
- Multi-Label Text Classification
- [Token Classification](./text/token%20classification) - Labeling individual words or parts of words within text.
- Question Answering - Answering questions based on a given text.
- Summarization - Summarizing text into a shorter version.
- Translation - Translating text from one language to another.
- Text Generation - Generating text.
## Audio
- Audio Classification - Classifying audio into different categories.
- Multi-Label Audio Classification
- Speech Recognition - Converting spoken audio into text.
- Music Generation - Generating music.
## Semi-Supervised Learning
- Image Classification - Classifying images when only some of the data is labeled.
- Text Classification - Classifying text when only some of the data is labeled.
- Audio Classification - Classifying audio when only some of the data is labeled.
## Unsupervised Learning
## Reinforcement Learning
## Active Learning
## Multi-Task Learning
## Few-Shot Learning
## License
This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for more details.
## Acknowledgments
I'd like to thank the following projects for reference and inspiration in building this project.
* [HuggingFace](https://github.com/huggingface/transformers)