📈 Keras implementation of the Deep Temporal Clustering (DTC) model
-
Updated
Apr 25, 2022 - Python
📈 Keras implementation of the Deep Temporal Clustering (DTC) model
Diagnostic Trouble Code Database (dtcdb)
The application has been developed to inform possible mechanical failure or theft in the vehicle. It has as main objectives, to visualize the current location of the car, to obtain images and to make available the data of its On-Board Diagnostic (OBD) port.
Control of three phase induction motor using Sliding Mode Control and Direct Torque Control and compare the performance between each of them,
Description : 'CarSoul-AI' is a Python program blending vehicle diagnostics with integrated ChatGPT. Using voice commands, access real-time car data, clear error codes, or talk to gpt-4 powerd ai for solutions..
Implementation of Takagi-Sugeno Fuzzy Inference System for speed control of 3hp induction machine - Simulation files. The output data is saved in .txt files and the membership functions can be plotted for a fine tuning of the controller.
This is a BASH script that provides options to install the following Development Testbed Center's Model Evaluation Toolkit packages in 64-bit systems:
This repo contains contributions to the DataTalksClub MLOps Zoomcamp 2023.
This is my coursework for the fourth semester of the first year at KPI, in which I implemented a system for predicting water quality using various machine learning models
Add a description, image, and links to the dtc topic page so that developers can more easily learn about it.
To associate your repository with the dtc topic, visit your repo's landing page and select "manage topics."