Mina Souliman's repositories
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
chatpdf
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
Data_Driven_Science_Python_Demos
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
fsid
FSID is an open source toolbox, implemented in the Python Julia and Matlab programming languages. FSID is a toolbox with scripts which estimates linear multi-input multi-output state-space models from sample data using frequency-domain subspace algorithms. Algorithms which estimate models based on samples of the transfer function matrix as well as frequency domain input and output vectors are provided. The algorithms can be used for discrete-time models, continuous-time models as well as for approximation of rational matrices from samples corresponding to arbitrary points in the complex plane.
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
omscs-notes
OMSCS Notes is powered by Vue, Gridsome, and Firebase.
omscs-notes-notes
The raw markdown notes for OMSCS Notes.
panel
A high-level app and dashboarding solution for Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
scipy_con_2019
Tutorial Sessions for SciPy Con 2019