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machine-learning

medium_notebook

Repository containing notebooks of my posts on Medium

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

mistral-finetune

my_notes

My small cheatsheets for data science, ML, computer science and more.

node

papertocode

Python code implementation from scientific papers.

pgnn

Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling

phygnn

physics-guided neural networks (phygnn)

piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and validation

predictive-modelling-of-tb-data

Predictive Modelling of Tunnel Boring Machine (TBM) data. Data Extraction and preparation using Pandas in Python. Dimensionality reduction using PCA and Clustering using K-Means. Comparitive study of Random Forests, Neural Networks with FFBP algorithm and polynomial regression. Proficiency in Scikit-learn and Tensorflow

pycaret

An open-source, low-code machine learning library in Python

pycaret-streamlit-google

Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes

pygwalker

PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis

pythoncourse

quantum-machine-learning

In this repository, I upload some codes from different papers around the world regarding to quantum machine learning algorithms

radiomicstutorial

resume

river

🌊 Online machine learning in Python

soft_tbm

A micro tunnel boring machine lithology classification web app using Streamlit and PyCaret.

specific-energy

Specific energy prediction model using PyCaret

specificenergy

EPB TBM specific energy prediction using operational parameters

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-prediction-usning-transformer-nn

Stock Prediction usning Transformer NN

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

stress-predict-dataset

This dataset is associated with "Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset" paper

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tabpy

Execute Python code on the fly and display results in Tableau visualizations:

tbm-eda

A streamlit web-app to exploratory data analysis of a tunnel boring machine (TBM).

tbm-llm

This is a tunnel boring machine large language model to guide engineers on site, researchers, and construction companies.