Ewota Open Source

Large Language Model Course

Updated 2024-01-09 11:30:57 +08:00

Neural Networks: Zero to Hero

Updated 2023-12-03 19:00:44 +08:00

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.

Updated 2023-10-24 11:00:51 +08:00

PyPortfolioOpt is a library that implements portfolio optimization methods, including classical mean-variance optimization techniques and Black-Litterman allocation

portfolio-optimization

Updated 2023-09-15 11:15:00 +08:00

Build a simple methodology of Supply Chain Network Design that is considering the fluctuation of the demand.

python

supply-chain-management

manufacturing

monte-carlo-simulation

optimization

supplychain-optimization

Updated 2023-09-15 11:15:00 +08:00

Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs. From Samir Saci

python

supply-chain-management

supply-chain-optimization

Updated 2023-09-15 11:15:00 +08:00

Set of Jupyter notebook supporting articles on https://medium.com/@vdekanovsky

data-visualization

data-analysis

data

Updated 2023-09-15 10:43:33 +08:00

A collection of resources for pandas (Python) and related subjects.

Updated 2023-08-18 20:34:19 +08:00

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. https://jakevdp.github.io/PythonDataScienceHandbook/

Updated 2023-08-18 20:29:47 +08:00

code and data for the time series analysis video from YouTube channel: https://www.youtube.com/@ritvikmath

Updated 2023-08-18 20:16:58 +08:00

An Ultimate Compilation of AI Resources for Mathematics, Machine Learning and Deep Learning. Highly recommended!

Updated 2023-08-18 20:06:50 +08:00

Jupyter notebooks from the scikit-learn video series Youtube link: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A

Updated 2023-08-18 19:59:17 +08:00

IPython notebooks with demo code intended as a companion to the book: Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control by S. L. Brunton and J. N. Kutz http://databookuw.com/

Updated 2023-08-18 19:52:40 +08:00

This handbook extensively covers time series analysis and forecasting, delving from the most fundamental methods to the state-of-the-art. The handbook was made in Python and is designed such that readers can both learn the theory and apply them to real-world problems.

Updated 2023-08-18 19:45:59 +08:00