A series of machine learning tutorials for Torch7
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Growing the code out of your notebooks - the right way.
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Tips and notes about Blazor and Tailwind
- blazor
- tailwindcss
How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
How to create Selfie2Anime from tflite model to Android.
- tensorflow-lite
- selfie2anime
- gans
- android
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
- stft
- hanning-window
- laplace-transform
- fft
A collection of short notes about Nix, each contributing to the same virtual machine image
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A collection of short notes about Nix focusing on what is immediately needed by users.