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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.
A collection of short notes about Nix, each contributing to the same virtual machine image
EmberConf 2018 notes.
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
The repository host gives no description.
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 collection of short notes about Nix focusing on what is immediately needed by users.
Notes from the edX Course
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.
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.