Ibrahim Sobh's repositories
Transformers
Transformers and related deep network architectures are summarized and implemented here.
imageclassification
Deep Learning: Image classification, feature visualization and transfer learning with Keras
Practical-DRL
This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
Segmentation
In this tutorial, you will perform inference across 10 well-known pre-trained semantic segmentors and fine-tune on a custom dataset. Design and train your own segmentor.
see-inside-cnn
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
Object-Detection
In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design and train your own object detector.
kaggle-COVID19-Classification
COVID-19 is an infectious disease. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020. X-ray machines are widely available and provide images for diagnosis quickly so chest X-ray images can be very useful in early diagnosis of COVID-19. In this classification project, there are three classes: COVID19, PNEUMONIA, and NORMAL
kaggle-Flower-Classification-TPUs
TPUs are powerful hardware accelerators specialized in deep learning tasks, now available on Kaggle. https://ibrahimsobh.github.io/kaggle-Flower-Classification-TPUs/
askdoc
In this tutorial we will see 💡 How to get answers from documents using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).
askpdf
In this tutorial we will see 💡 How to get answers from a PDF file using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
AskYouTube
In this tutorial we will see 💡 How to get answers from a YouTube video using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
dlaicourse
Notebooks for learning deep learning
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io