slowdive42 Goto Github PK

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

algorithmic-trading-aws

aws-trading-bootcamp

algorithmic_trading_machine_learning

cscct

Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"

data_labeling

Data labeling scripts for machine/deep learning.

financial-indicator-analysis

Pick and compare different financial indicators offered by Ta-lib.

financial-mathmatical-equation

financial-series-and-triple-barrier-method

I did this project as one of the parts from a Python test for my Master's degree. The objective was to practice the treatment of financial time series.

flexible_net

This is an example of matching optuna's hyper-parameter tuning options with as many pytorh neural net hyper-parameters as possible.

gplearn_finiance_stock_futures_extension

This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector of the financial market.

gpquant

Mining technical factors based on symbolic regression via genetic algorithm

joblib_accelerating_for_loop

This is an example of acceleration for for-loops made possible by Joblib libary and muti-core usage.

kaggle

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

reinforcement-learning-trading-commodity-futures

Streamline data processing, agent training and testing implementation for futurers contracts.

s3_video_store

sedentary_prompt

slowdive42

Config files for my GitHub profile.

slowdive42.github.io

store_sale

youtube-summary