JanMarcelKezmann
I have a Master of Science in business mathematics and love to work on ML and DL projects in my free time while working as a Data Scientist for CarValoo.
CarValoo GmbHRemscheid, Germany
Pinned Repositories
Apache-Airflow-Beam-TensorFlow-Examples
Various examples for TensorFlow Extended using Apache Beam and Airflow to create End2End Pipelines for Machine Learning.
Building-ML-Pipelines-Notes
This Repository contains Notes in form of Jupyter Notebooks for every Chapter of the Book "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Fast-Fourier-Transformation-with-Python-and-Numpy
Flask-AI-WebApp
Keras & Flask AI Web Application
Google-Colab-Pro-Vs-MacBook-Pro-M1-Max-24-Core
A speed comparison between the GPUs offered by Google Colab vs the MacBook M1 Max 24 Core chip
MetaDetect3D
MetaDetect3D is a post-processing tool for 3D object detection neural networks that improve calibration, performance and can be used for efficient label error detection as well.
OpenAI-API-Guide
This repository contains multiple Jupyter Notebooks providing a step-by-step guide for the OpenAI APIs.
Semi-Supervised-Learning-Image-Classification
This library contains Semi-Supervised Learning Algorithms for Computer Vision tasks implemented with TensorFlow 2.x and Python 3.x
TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
YourCookBook
Recipe App made with Dart and Flutter to create personalized recipies
JanMarcelKezmann's Repositories
JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
JanMarcelKezmann/Semi-Supervised-Learning-Image-Classification
This library contains Semi-Supervised Learning Algorithms for Computer Vision tasks implemented with TensorFlow 2.x and Python 3.x
JanMarcelKezmann/Google-Colab-Pro-Vs-MacBook-Pro-M1-Max-24-Core
A speed comparison between the GPUs offered by Google Colab vs the MacBook M1 Max 24 Core chip
JanMarcelKezmann/Apache-Airflow-Beam-TensorFlow-Examples
Various examples for TensorFlow Extended using Apache Beam and Airflow to create End2End Pipelines for Machine Learning.
JanMarcelKezmann/Flask-AI-WebApp
Keras & Flask AI Web Application
JanMarcelKezmann/MetaDetect3D
MetaDetect3D is a post-processing tool for 3D object detection neural networks that improve calibration, performance and can be used for efficient label error detection as well.
JanMarcelKezmann/Building-ML-Pipelines-Notes
This Repository contains Notes in form of Jupyter Notebooks for every Chapter of the Book "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
JanMarcelKezmann/Fast-Fourier-Transformation-with-Python-and-Numpy
JanMarcelKezmann/OpenAI-API-Guide
This repository contains multiple Jupyter Notebooks providing a step-by-step guide for the OpenAI APIs.
JanMarcelKezmann/python-flask-firebase-web-application
JanMarcelKezmann/Boston-House-Prices
JanMarcelKezmann/Residual-Network-Architectures
Implementation of different Residual Network Architectures
JanMarcelKezmann/stockprice-analysis-and-predictions
JanMarcelKezmann/YourCookBook
Recipe App made with Dart and Flutter to create personalized recipies
JanMarcelKezmann/Animal-Classificator-Convolutional-Neural-Network
JanMarcelKezmann/anuraghazra
JanMarcelKezmann/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
JanMarcelKezmann/cpuimage
JanMarcelKezmann/Crawling-Stock-Infos-0.5
Testing Github and Sourcetree
JanMarcelKezmann/fixmatch
A simple method to perform semi-supervised learning with limited data.
JanMarcelKezmann/jack06215
JanMarcelKezmann/JanMarcelKezmann
This is me!
JanMarcelKezmann/keras-io
Keras documentation, hosted live at keras.io
JanMarcelKezmann/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
JanMarcelKezmann/Pneumonia-Detection-InceptionV3-Transfer-Learning
JanMarcelKezmann/Web-Crawler-with-PyQt-Widget
Basic Web Crawler for Companies Fundamental's