Defcon27
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📚 Materials
An open access book on scientific visualization using python and matplotlib
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
🎓 Path to a free self-taught education in Computer Science!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
List of Computer Science courses with video lectures.
Collection of useful data science topics along with articles, videos, and code
A resource for learning about Machine learning & Deep Learning
Master programming by recreating your favorite technologies from scratch.
Roadmap to becoming an Artificial Intelligence Expert in 2022
500 AI Machine learning Deep learning Computer vision NLP Projects with code
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
🚀 A curated list of awesome resources for product/program managers to learn and grow.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🎓 Sharing machine learning course / lecture notes.
🧠 A study guide to learn about Transformers
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Materials for the Hugging Face Diffusion Models Course
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Friendly link to all of my medium articles
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Code for Machine Learning for Algorithmic Trading, 2nd edition.