Highlights
Cleaned all sections and included new Apptainer guide for HPC compute containerization and LLM introduction and hyperparameter tuning with Gemma 7b (Google) model.
Sections and Subsections
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Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy, Matplotlib and more)
- Introduction
- Course Progression
- Practical Deep Learning with PyTorch
- Improving Deep Learning with PyTorch
- Deep Reinforcement Learning with PyTorch
- From Scratch Deep Learning with PyTorch/Python
- Compute Optimization
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Language Models (Libraries: Python, Pytorch, Ollama, LlamaIndex, CUDA, Huggingface, Apptainer)
- Intro
- Containers
- Language Models
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Machine Learning Tutorials (Libraries: Python, cuDF RAPIDS, cuML RAPIDS, pandas, numpy, scikit-learn and more)
- RAPIDS cuDF
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Programming Tutorials (Libraries: C++, Python, Bash and more)
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Data Engineering Tutorials (Libraries: Bash, Databricks, Delta Live Tables, Parquet, Python, Cassandra, and more)
- Cassandra (NoSQL)