Awesome Machine Unlearning (A Survey of Machine Unlearning)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Must-read papers on graph neural networks (GNN)

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Explainability for Vision Transformers

A WhatsApp chatbot to enable Pakistani women to learn more about their rights in Pakistan in Roman Urdu.

🦜🔗 Build context-aware reasoning applications

🔥Highlighting the top ML papers every week.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Seamlessly integrate LLMs into scikit-learn.

Interesting resources related to XAI (Explainable Artificial Intelligence)

💡 Adversarial attacks on explanations and how to defend them

A collection of research materials on explainable AI/ML

📚 Freely available programming books

Materials for GWU DNSC 6279 and DNSC 6290.

All about explainable AI, algorithmic fairness and more

This repository is all about papers and tools of Explainable AI

Ths repo has the list of Interesting Literature in the domain of XAI

react_app_demo

Appointment dashboard to settle online appointment and weekly reports of appointments

Data Shapley: Equitable Valuation of Data for Machine Learning

Free Data Engineering course!

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Exercise notebooks for Machine Learning modules on Microsoft Learn

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Commented (but unaltered) version of original word2vec C implementation.

All Algorithms implemented in Python