https://github.com/pythonlessons/mltu

Machine Learning Training Utilities (for TensorFlow and PyTorch)
https://github.com/pythonlessons/mltu

machine-learning object-detection ocr pytorch speech-recognition speech-to-text tensorflow yolov8

Last synced: 1 day ago
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Machine Learning Training Utilities (for TensorFlow and PyTorch)

• Host: GitHub
• URL: https://github.com/pythonlessons/mltu
• Owner: pythonlessons
• License: mit
• Created: 2022-12-01T13:34:57.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-30T08:35:39.000Z (6 months ago)
• Last Synced: 2024-11-08T01:20:21.743Z (7 days ago)
• Topics: machine-learning, object-detection, ocr, pytorch, speech-recognition, speech-to-text, tensorflow, yolov8
• Language: Python
• Homepage:
• Size: 1.97 MB
• Stars: 191
• Watchers: 4
• Forks: 111
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# MLTU - Machine Learning Training Utilities

Machine Learning Training Utilities for TensorFlow 2.* and PyTorch with Python 3



  



# Installation:

To use MLTU in your own project, you can install it from PyPI:

```bash

pip install mltu

```

When running tutorials, it's necessary to install mltu for a specific tutorial, for example:

```bash

pip install mltu==0.1.3

```

Each tutorial has its own requirements.txt file for a specific mltu version. As this project progress, the newest versions may have breaking changes, so it's recommended to use the same version as in the tutorial.

# Tutorials and Examples can be found on [PyLessons.com](https://pylessons.com/mltu)

1. [Text Recognition With TensorFlow and CTC network](https://pylessons.com/ctc-text-recognition), code in ```Tutorials\01_image_to_word``` folder;

2. [TensorFlow OCR model for reading Captchas](https://pylessons.com/tensorflow-ocr-captcha), code in ```Tutorials\02_captcha_to_text``` folder;

3. [Handwriting words recognition with TensorFlow](https://pylessons.com/handwriting-recognition), code in ```Tutorials\03_handwriting_recognition``` folder;

4. [Handwritten sentence recognition with TensorFlow](https://pylessons.com/handwritten-sentence-recognition), code in ```Tutorials\04_sentence_recognition``` folder;

5. [Introduction to speech recognition with TensorFlow](https://pylessons.com/speech-recognition), code in ```Tutorials\05_speech_recognition``` folder;

6. [Introduction to PyTorch in a practical way](https://pylessons.com/pytorch-introduction), code in ```Tutorials\06_pytorch_introduction``` folder;

7. [Using custom wrapper to simplify PyTorch models training pipeline](https://pylessons.com/pytorch-introduction), code in ```Tutorials\07_pytorch_wrapper``` folder;

8. [Handwriting words recognition with PyTorch](https://pylessons.com/handwriting-recognition-pytorch), code in ```Tutorials\08_handwriting_recognition_torch``` folder;

9. [Transformer training with TensorFlow for Translation task](https://pylessons.com/transformers-training), code in ```Tutorials\09_translation_transformer``` folder;

10. [Speech Recognition in Python | finetune wav2vec2 model for a custom ASR model](https://youtu.be/h6ooEGzjkj0), code in ```Tutorials\10_wav2vec2_torch``` folder;

11. [YOLOv8: Real-Time Object Detection Simplified](https://youtu.be/vegL__weCxY), code in ```Tutorials\11_Yolov8``` folder;

12. [YOLOv8: Customizing Object Detector training](https://youtu.be/ysYiV1CbCyY), code in ```Tutorials\11_Yolov8\train_yolov8.py``` folder;