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galdamour's Projects

freecad-addons icon freecad-addons

A convenient gathering of useful and well-developed FreeCAD plugins made by the community.

fundamentalanalysis icon fundamentalanalysis

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.

fx_forecasting_model icon fx_forecasting_model

Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"

fx_prediction icon fx_prediction

If you search for "Technical analysis and AI" in Persian you will find this post among the first 3 results of Google.

galatea icon galatea

Ian Goodfellow's private research codebase

go icon go

The Open Source Data Science Masters

guides icon guides

A collection of easy-to-understand guides to programming tools

ib icon ib

Samples code demonstrating how to use IbPy to extract information from Interactive Brokers API

imagenet18 icon imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

learning_to_beat_the_random_walk icon learning_to_beat_the_random_walk

In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

lstm-text-generation icon lstm-text-generation

Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣

machine-learning icon machine-learning

Python machine learning applications in image processing and algorithm implementations including Gaussian Mixture Model, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, K Nearest Neighbors, K Means, Naive Bayes, Gaussian Discriminant Analysis, Newton Method, Gradient Descent

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