zilbermanor

mlconference-workshop

Data Science from Research to Production with Jupyter, Kubeflow & Nuclio workshop

reinforcement_learning-book

Summary, Exercises and notes for Reinforcement Learning: An Introduction Richard S. Sutton and Andrew G. Barto Second Edition, MIT Press, Cambridge, MA, 2017

deployment_generator

Can generate a deployment configuration and metrics for stock markets, netops, etc...

aiweek

coach

Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

dask-docker

Docker images for dask

demo-image-classification

demo-network-operations

demo-nlp-qa

An NLP Question Answering Demo based on Bert.

demos

End to end MLRun demos

ESOP

legal and smart contracts framework to implement Employee Stock Options Plan

ethers_aws

Signer middleware for use with AWS KMS

faker

Faker is a Python package that generates fake data for you.

functions

MLRun template functions and examples

gitflow-example

grafwiz

Grafana dashboard wizard/generator

gym

A toolkit for developing and comparing reinforcement learning algorithms.

iguazio-model-monitoring

iguazio_api_examples

kfserving

Serverless Inferencing on Kubernetes

location_based_recommender

mlrun

Machine Learning automation and tracking

nuclio-jupyter

Nuclio Function Automation for Python and Jupyter

RedisAI

A Redis module for serving tensors and executing deep learning graphs

spark_pipeline_persistance_example

Example of spark ml pipeline model persistance

storey-nlp

NLP Example flow based on mlrun/storey

TokenProvidence

On-chain Health-check for ERC-20 tokens without wasting gas.

tutorials

v3io-py

webhook-demo

demo the work of MLRun with Github webhooks