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HabibMrad
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A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
The official GitHub page for the survey paper "A Survey of Large Language Models".
A repository for my self-learning journey on LLMs. Collection of resources, notebooks, blogs, tutorials.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
AFIB Detection with Convolutional Networks (Computers In Cardiology Challenge 2017)
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Cardiovascular Activity Monitoring Using mmWaves
Python example classifier for the PhysioNet/Computing in Cardiology Challenge 2020
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
A curated list of awesome things related to artificial intelligence tools
A curated list of the most impressive AI papers
This repo includes ChatGPT prompt curation to use ChatGPT better.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Start building practical applications that allow you to interact with data using LangChain and LLMs.
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…
Notes for the Machine Learning course.
A playbook for systematically maximizing the performance of deep learning models.
Resource library for getting started with deep learning work using electrocardiograms
VIP cheatsheets for Stanford's CS 229 Machine Learning
DRL university course lecture notes & exercises
Dataiku DSS plugin to detect languages, correct misspellings, and clean text data 🧼
Latex code for making neural networks diagrams
A dummy project to generate images from song lyrics using Stable Diffusion
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained