Deep Learning Tutorials and Notebooks
This repository is for my students.
Tutorials
Deep Learning General
- Access Snellius GPUs
- Deep Learning Project Setup
- Pytorch Lightning
- Practical Information about Data
- Shared Jupyter Notebook in SRC (SURF Research Cloud)
- Gradio App in SRC (SURF Research Cloud)
- Hugging Face Guide
- Set Up a Custom Python Function within PostgreSQL
Training and Inference
- Training and Inference with Limited Resources
- Improve Deep Learning Training Results
- DDP(Distributed Data Parallel) in PyTorch
Courses and Literature
- Courses in Deep Learning and Computer Vision
- Object Detection
- Object Tracking
- Localization, Mapping, 3D Reconstruction
- Time Series
Blogpost
- Example Tasks for Large Language, Multimodal, and Vision Models
- Companies
- Handling Variable Sequence Lengths in Transformer Models
- Installing Deep Learning Tools for Point Cloud Segmentation
- Enhancing AI Capabilities: Post-Training, Reasoning, and Agent, Models
- Generative AI
- Time Series Augmentation
- Metrics for Comparing Distributions
- Simulation: Generation / Editing
- Install Ubuntu on a Windows Laptop with NVIDIA
General
- Services
- Git Basics: A Simple Manual
- Python Basics
- Linux Basics
- Docker Basics
- Tmux Basics
- Making a Reveal.js presentation from Markdown (with Python + Pandoc)
Examples
Miscellaneous:
🚀 Notebook Examples
| notebook | open in colab |
|---|---|
| Colab basics |  |
| Training basics | |
| Classification Example | |
| Object detection with yolov8 and roboflow | |