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README.md

🟡 Intermediate Workshops

Applied deep learning, computer vision pipelines, and NLP workshops with live code implementation.


📚 Curriculum & Available Workshops

1. Deep Learning with PyTorch: Tensors to Convolutional Networks

  • Topics: PyTorch tensor operations, autograd, building a custom nn.Module, writing training loops, and training an MLP / CNN.
  • Duration: 3 Hours
  • Prerequisites: Python OOP, NumPy, calculus basics.
  • Interactive Lab: Open In Colab 01_pytorch_deep_learning_starter.ipynb

2. Real-Time Vision & Object Detection with OpenCV and YOLO

  • Topics: Image filtering, contour detection, webcam video streaming, and running inference with Ultralytics YOLO.
  • Duration: 3 Hours
  • Prerequisites: Python, basic deep learning intuition.
  • Interactive Lab: Open In Colab 02_opencv_computer_vision_starter.ipynb

3. Natural Language Processing with Hugging Face

  • Topics: Word embeddings, tokenization algorithms, fine-tuning pre-trained transformer models for text classification.
  • Duration: 3 Hours
  • Prerequisites: PyTorch fundamentals.

🚀 How to Run

In the Cloud:

Click the Open in Colab badge above to run with free GPU acceleration.

Locally on Your Machine:

git clone https://github.com/AIMLCLUBOCT/Workshops.git
cd Workshops/intermediate
pip install torch torchvision numpy matplotlib jupyterlab
jupyter lab notebooks/