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followers: 536.0 following: 19.0 repos: 18.0 gists: 0.0

Name: Ibrahim Sobh

Type: User

Blog: https://www.linkedin.com/in/ibrahim-sobh-phd-8681757/

Ibrahim Sobh's Projects

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).

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).

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dlaicourse

Notebooks for learning deep learning

imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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/

llms

Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.

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.

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/

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

see-inside-cnn

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

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.

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

transformers

Transformers and related deep network architectures are summarized and implemented here.

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