andrebluhm Goto Github PK
Name: André Bluhm
Type: User
Company: omega-space.org
Bio: CEO & Co-Founder @ ΩMEGA | „The digital space where society can unleash its full potential”
Blog: linktr.ee/andre.bluhm
André Bluhm's Projects
advancing_project-based-learning
Curated list of project-based tutorials
azure-quickstart-templates
Azure Quickstart Templates
example_fastapi-app
Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI
example_keras-customer-churn
Customer Churn Shiny Application
examples_devops-projects
Sample applications for Azure DevOps Project
examples_mlflow
Basic MLflow examples
examples_tensorflow
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
examples_tensorflow-pytorch-examples
Code examples in pyTorch and Tensorflow for CS230
experiementing_docker-for-microservices-with-python
Hands-On Docker for Microservices with Python, published by Packt
experimenting_auto-sklearn
Automated Machine Learning with scikit-learn
experimenting_docker-nginx-postgres-django
Example using Docker, Django, multiple Postgres databases, NginX, Gunicorn, pipenv, GitLab CI and tox.
experimenting_dvc-setup
Get started DVC project
experimenting_gpt2
Code for the paper "Language Models are Unsupervised Multitask Learners"
experimenting_gpt3
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
experimenting_hadoop_java
A very simple example of using Hadoop's MapReduce functionality in Java.
experimenting_kafka-streams-machinelearning
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
experimenting_scikit-learn
scikit-learn: machine learning in Python
experimenting_sparkit-learn
PySpark + Scikit-learn = Sparkit-learn
experimenting_tf-hub
A library for transfer learning by reusing parts of TensorFlow models.
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
github-issue-templates
:symbols: A collection of GitHub issue and pull request templates
heart-disease-uci
Analysis of the Heart Disease UCI dataset on Kaggle: https://www.kaggle.com/ronitf/heart-disease-uci
mlflow
Open source platform for the machine learning lifecycle
project_convolutional-neural-networks-tensorflow
Guided Projects in Deep Learning with focus on Convolutional Neural Networks from Coursera.
project_data-analysis-pyspark
Guided Project using PySpark for Data-Analysis from Coursera.
project_deepneuralnetworks-tensorflow
Guided Course on implementing and improving Deep Neural Networks in Tensorflow by Coursera.
project_deploy-tensorflow-serving-docker
Guided Project deploying Deep Learning Model with Tensorflow Serving and Docker via REST / gRPC from Coursera.
project_flask-ml-azure
Deploy Flask Machine Learning Application on Azure App Services
project_h2o-automl
Guided Project using H2O AutoML from Coursera.
project_kubernetes-microservices-flask
A guided Kubernetes Hello World Project based on Flask Microservices from Coursera.
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