Projects
Here you’ll find many of the projects I’ve been involved with as creator, maintainer or contributor.
2022
Ray Documentation
Ray Documentation Overhaul
Applied RL with RLlib
Applied Reinforcement Learning with RLlib
Learning Ray Source Code
Python notebooks for the book “Learning Ray” (O’Reilly)
2021
Pathmind Python API
A Python API to train and run policies for your simulations in Pathmind
logodetect
Find logos in images and videos in just one-shot.
2020
iot-demo
Sketching a Real-Time Analytics Pipeline in Python
covid-19-vis
COVID-19 development Gapminder visualisation
Konduit Serving
Enterprise Runtime for Machine Learning Models
2019
skilr
R client for Skymind’s intelligence layer (SKIL)
pyreadme
Python interface for the readme.io HTTP API
Deep Learning with Java
Deep Learning with Java project
skil-java
Java client for Skymind’s intelligence layer (SKIL)
2018
Strumpf
Test resource management for big files
skil-python
Python client for Skymind’s intelligence layer (SKIL)
pydl4j
Java dependency management for Python applications
ScalphaGoZero
An independent implementation of DeepMind’s AlphaGoZero in Scala, using Deeplearning4J (DL4J)
Applied AI with Deep Learning
Coursera course on applied AI with Deep Learning
2017
Deep Learning and the Game of Go framework
Code and other material for the book “Deep Learning and the Game of Go”
Keras model import to DL4J
Import Keras models to DL4J for training and deployment.
ScalNet
Scala Deep Learning API for DL4J
2016
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
neuralforecast
A Non Linear Time Series Prediction Approach with Neural Networks
BetaGo
AlphaGo for the masses, live on GitHub.
hyperas
A very simple wrapper for convenient hyperparameter optimization with Keras and Hyperopt
entropy-mdlp
Minimum description length principle algorithm in Python, for optimal binning of continuous variables
2015
elephas
Distributed Deep learning with Keras & Spark
