Partner/Co-CEO @ DATANOMIQ | VP of AI/ML at Beams Safety AI 🤖 | Advisor. Ex-CTO/Co-Founder @Priceloop. Ex-Head of AI @AxelSpringer, Ex-Pivotal.
face2face-demo. pix2pix demo that learns from facial landmarks and translates this into a face
1.5kobject_detector_app. Real-Time Object Recognition App with Tensorflow and OpenCV
1.3kraccoon_dataset. The dataset is used to train my own raccoon detector and I blogged about it on Medium
1.3kjupyter2slides. Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
792emr-bootstrap-pyspark. Quickstart PySpark with Anaconda on AWS/EMR
53spark-tdd-example. A simple Spark TDD example
26cf-demo. End-to-end data science example running on Cloud Foundry
19Face-Detector-CF. Jupyter Notebook
9awesome-python. A curated list of awesome Python frameworks, libraries, software and resources
7Dogs-vs-Cats. Jupyter Notebook
7gp-scoring-keras-tf. Jupyter Notebook
7awesome-public-datasets. An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
4datitran.github.io. Personal homepage
4imagededup. 😎 Finding duplicate images made easy!
3image-quality-assessment. Convolutional Neural Networks to predict the aesthetic and technical quality of images.
3image-super-resolution. Keras implementation of the Residual Dense Network for super scaling images.
3terraform-emr-pyspark. Quickstart PySpark with Anaconda on AWS/EMR using Terraform
2PySpark-App-CF. Jupyter Notebook
2reranker_openvino. Code for the Article: "Building a Fast and Efficient Semantic Search System Using OpenVINO and Postgres"
2managers-playbook. :book: Heuristics for effective management
2falcon-prediction-app. Simple Machine Learning Web API Example with Falcon
2ds-concourse-ci. Python
2dataflow-ops. Python
1bouncing-ball. Python
1priceloop-nocode-custom-function-workshop.
1luigi_boilerplate. Postgres + PySpark
1streamlit-heroku. Shell
1datitran.
1ml-berlin-blog.
1nvidia-docker-keras. Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
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