Repository Index

💸 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.

• notebooks
• pyspark-notebook
• juypter-notebook
• spark

lecture notes for probabilistic topic models using ipython notebook

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.

An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.

• tensorflow-lite
• tflite
• computer-vision
• deep-learning

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.