How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
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How to create a Cartoonizer Android app with TensorFlow Lite models.
tutorials made for biologists to learn deep learning
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Compilado de recursos sobre Computação Quântica em português
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.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Various Jupyter notebooks about Common Crawl data
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
open source E-book on statistical physics
Mobile Deep Learning Projects, published by Packt
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
💸 Papers and Code Implements for Quantitative-Trading
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Sources for the Network Science Cheatsheets
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
JupyterHub with Nextcloud and OpenID Connect
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
A demonstration tutorial of using aiida-quantumespresso
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.