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
JanMarcelKezmann's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
TheAlgorithms/Python
All Algorithms implemented in Python
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
alexeygrigorev/data-science-interviews
Data science interview questions and answers
mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
jayshah19949596/CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
HRNet/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
huggingface/blog
Public repo for HF blog posts
sadeepj/crfasrnn_keras
CRF-RNN Keras/Tensorflow version
achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
gabrieldemarmiesse/getting_started_open_source
You want to contribute to an open-source project? You don't know how to do it? Here is how to.
YuefeiZ/PANet
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/OpenAI-API-Guide
This repository contains multiple Jupyter Notebooks providing a step-by-step guide for the OpenAI APIs.
JanMarcelKezmann/Boston-House-Prices
JanMarcelKezmann/Residual-Network-Architectures
Implementation of different Residual Network Architectures
JanMarcelKezmann/stockprice-analysis-and-predictions