Code examples: Machine Learning, Deep Learning, Computer Vision, Robotics, Programming, etc.
| Example | What's that? |
|---|---|
| 001 | Python script, shows how to generate a PDF file from Python with graphics |
| 002 | Python script, shows the difference between full batch vs. SGD vs. mini-batch gradient descent |
| 003 | Python script, which I use to generate short .mp4 videos with title text for (family) videos |
| 004 | Notebook, building a Keras MLP for house price prediction. Linear model and MLP have similar performance. |
| 005 | Notebook, finetuning a VLM (Gemma 3) for converting LaTeX formula images to LaTeX formulas |
| 006 | Notebook, building a Keras MLP for concrete strength prediction. MLP is superior to linear model. |
| 007 | Notebook, demonstrating a k-fold CV for a MLP |
| 008 | Notebook, finetuning a VLM (Qwen 3, 8b) for classifying and describing monster images |
| 009 | Notebook, finetuning a LLM (Llama 3.2, 3b) to know new facts (here: about a specific person) |
| 010 | Notebook, introducing BigData topics as Pandas chunking, Parquet files, etc. |
| 011 | Notebook, showing uni- and multi-variate techniques for outlier detection and removal |
| 012 | Python script, interactive DBSCAN demo. You can define data points and cluster them |
| 013 | C and C++ examples, demonstrating various concepts in C and C++ |
| 014 | Python script, compares different optimizers like GD, Momentum, Nesterov, Adagrad, RMSProp, Adam, AdamW, Lion |
| 015 | Notebook, demonstrates how to do AutoML on tabular data with AutoGluon TabularPredictor and TimeSeriesPredictor |
| 016 | Notebook, short intro to Dask - a Python library for working with big data files |
| 017 | Notebook, shows how to create a SQLite3 database, retrieve data, change data |
| 018 | Notebook, very short notebook that shows how to load in gpt-oss with 20b params and classify a user question (in German) |
| 019 | Notebook, mini RAG example with Chroma vector store and OpenAI API (in German) |
| 020 | Notebook, anomaly detection in ECG data with the help of an autoencoder built with Keras (in German) |
| 021 | Python scripts, simple 2D (n-DOF) robot arm simulator and models that learn to control the robot arm |
| 022 | C and C++ exercises for beginners |
| 025 | Python script, Q-Learning agent learns to collect green pills and avoid red pills |
| 026 | DeepEval, notebook shows how to use the deepeval python lib to test LLMs |
| 027 | Python script, shows how to plan a path from a start to goal cell in a grid world using breadth-first-search |
| 029 | Python script demo for kd-Trees |
| 030 | Notebooks, showing different aspects of sensor fusion (IVW, ISM, ML for sensor data fusion) |
| 031 | Python script, Value Iteration demo (model-based RL algorithm) to estimate how good states are |
| 032 | Notebook, visualizes that a decision tree for regression approximates a function stepwise |
| 033 | Python script, demo that shows how easily we can get the old Atari 2600 games for RL training using the ALE environment |
| 0xx |