Kursat Kilic's Projects
Code used in the 2023 Alert Geomaterials doctoral school on Machine in Geomechanics
#30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.
Exploratory analysis of Apple watch and accelerometry data; including the evaluation of a Physical activity intervention using the boris bike trips data in R.
The goal of this project is to classify the actions taken by the user (walking, climbing stairs and descendingn stairs) from the 3D accelerometer data.
Declarative statistical visualization library for Python
Easily generate thousands of 3D models, images, and animation NFTs automatically in Blender for free with Blend_My_NFTs.
It can display boreholes point along with the tunnel alignment
This repository contains the notebooks that can reproduce the results presented in the paper "Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode"
Clustering based over-sampling.
Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine
A comprehensive data analysis, ML, and ANN application
Cheat Sheets
A repository to keep track of all the code that I end up writing for my blog posts.
Quantum Machine Learning algorithms
Deep Learning Clustering with Tensor-Flow in Python
Hands-on Deep Reinforcement Learning, published by Packt
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Object Detection Model for Scanned Documents
Exercises and supplementary material for the machine learning operations course at DTU.
EPFL Machine Learning Course, Fall 2019
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
Libaries : dtale , pandas_profiling , sweetviz, pandas_visual_analysis
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).