Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
MIT License
Cleaned all sections and included new Apptainer guide for HPC compute containerization and LLM introduction and hyperparameter tuning with Gemma 7b (Google) model.
Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy, Matplotlib and more)
Language Models (Libraries: Python, Pytorch, Ollama, LlamaIndex, CUDA, Huggingface, Apptainer)
Machine Learning Tutorials (Libraries: Python, cuDF RAPIDS, cuML RAPIDS, pandas, numpy, scikit-learn and more)
Programming Tutorials (Libraries: C++, Python, Bash and more)
Data Engineering Tutorials (Libraries: Bash, Databricks, Delta Live Tables, Parquet, Python, Cassandra, and more)
Published by ritchieng about 1 year ago
Cleaned documentation, code, and website with a particular emphasis on sections and subsections to demarcate tutorials for ease of learning and ensure scalability in their respective sections.
Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy, Matplotlib and more)
Machine Learning Tutorials (Libraries: Python, cuDF RAPIDS, cuML RAPIDS, pandas, numpy, scikit-learn and more)
Programming Tutorials (Libraries: C++, Python, Bash and more)
Data Engineering Tutorials (Libraries: Bash, Databricks, Delta Live Tables, Parquet, Python, Cassandra, and more)
Published by ritchieng over 5 years ago
Stable releases for deep learning tutorials. And initial launch of deep reinforcement learning, scalable database and programming tutorials.
Published by ritchieng almost 6 years ago
After careful deliberation, I have decided to gradually open-source our written deep learning materials that I have used to teach more than 3000 students worldwide across 120 countries through my video course, Practical Deep Learning with Pytorch.
As this is a very new effort to open-source my materials, it's still a work-in-progress. Please bear with me while I clean it up.
This repository powers the main open-source Deep Learning Wizard website www.deeplearningwizard.com and contains the materials for the following topics.
We always provide the latest PyTorch version (currently 0.4 or 1.0 pre-release) so that you will be learning up-to-date code!
We deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly. We have open-sourced all our materials through our Deep Learning Wizard Wikipedia. For visual learners, feel free to sign up for our video course and join over 2300 deep learning wizards.
To this date, we have taught thousands of students across more than 120+ countries from students as young as 15 to postgraduates and professionals in leading MNCs and research institutions around the world.
We are openly calling people to contribute to this repository for errors. Feel free to create a pull request.