Deep Learning Resources

Here we gather a list of digital resources to try to keep track of Deep Learning (DL) advances.

DL Training Resources

• Deep Learning Wiki

Publications

• Hugging Face ArViv.org Daily Papers
• LLMs Research. Daily newsletter analyzing LLMs research papers as they published.

Newsletters

• Data Science Weekly
• Deep Learning Weekly

Medium Publications

• ODSC - Open Data Science
• Towards AI | (Editorial Team)
• Towards Data Science

Substack

• Ahead of AI. Sebastian Raschka.
• Ahead of AI #10: State of Computer Vision 2023. Sebastian Raschka.

Blogs

• Chip Huyen
• Eugen Yan
• Lil'Log
• Sebastian Raschka
• Simon Willison
• Andrej Karpathy
• Nathan Lambert
• Ethan Mollick
• Gwern
• Sebastian Ruder

Recommended Courses

LLMs

• All courses at DeepLearning.AI
• ChatGPT Prompt Engineering for Developers
• Building Systems with the ChatGPT API
• LangChain for LLM Application Development
• LangChain: Chat with Your Data
• Building Generative AI Applications with Gradio
• Finetuning Large Language Models

Machine Learning & Deep Learning

• Introduction to Machine Learning (Python). Sebastian Raschka, 2021.
• Introduction to Deep Learning (PyTorch). Sebastian Raschka, 2021.
• Deep Learning Fundamentals (PyTorch Lightning). Sebastian Raschka. Lightning AI, 2023.
• Deep Learning in Computer Vision. Kosta Derpanis.

Other

• Glossary LLM terms and concepts
• Machine Learning Mastery (blog w/code)
• Facebook page: Data Science
• Facebook group: Deep Learning

Small hands-on projects

• 7 Projects Built with Generative AI
• A Beginner’s Guide to LLM Fine-Tuning
• How to QA your PDF file and Evaluate Model Performance using Langchain and OpenAI.
• LibreChat. LibreChat is a free, open source AI chat platform. This Web UI offers vast customization, supporting numerous AI providers, services, and integrations.
• Ollama. Running LLM models locally.
• Ollama Models.
• Ready AI. Empowering all students to improve our world with AI.
• Run Llama 2 on your own Mac using LLM and Homebrew
• Teachable Machine. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.

HPC Resources

• PSC: Interoperable Workflows Using Workflow Management Systems and Singularity Containers Program
• PSC: Elevating Scientific Computing with Singularity Containers

More Learning Resources

• ACCESS Knowledge Resources
• UArizona DataLab Data Science Trainings
• General Data Science Learning Wiki

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Created: 08/06/2023

Updated: 02/08/2025

Carlos Lizárraga

University of Arizona. Data Science Institute, 2025.