Name: Conrad Lee
Type: User
Company: @capturedknowledge
Bio: My background is in applied AI and Machine Learning, and I build end-to-end systems. Founder of Captured Knowledge, leveraging AI for property managers.
Location: Vienna, Austria
Conrad Lee's Projects
Model-driven configuration management, multi-node deployment/orchestration, and remote task execution system. Uses SSH by default, so there is no special software has to be installed on the nodes you manage. Ansible can be extended in any language. Note: The default branch is the development branch which many people run directly from checkout, if you need a stable version, see the release-XX branches, tags, or ansible.cc/releases.
Benchmarks for Boehringer-Ingelheim's Predicting a Biological Response Competition, hosted by Kaggle
Fast n-dimensional filtering and grouping of records.
Parallel computing with task scheduling
Multi-Dimensional charting built to work natively with crossfilter rendered using d3.js
Real²time Exploratory Analytics on Large Datasets
A Homebridge plugin to control any device with the Somfy RTS technology with a Raspberry Pi connected to a simple 433 MHz transmitter.
Apache Airflow (Incubating)
Reads data from lastfm's API, specifically, charts on metropolitan areas
The Apache Kafka C/C++ library
For benchmaring community detection algorithms on social networks with meta-data
Official NetworkX mirror
A simple Python class for running multiple URL fetches in parallel
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
scikit-learn: machine learning in Python
Multilingual Sentence & Image Embeddings with BERT
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Mirror of Apache Spark