hydrosphere.io

#machinelearning models management. Deployment, versioning, testing, scoring, monitoring.
#AI #ML #DataScience

[hydrosphere.io @hydrospheredata]

Data Engineering Podcast - Managing The Machine Learning Lifecycle
https://t.co/izxpoDQYSk

[hydrosphere.io @hydrospheredata]

"Almost any Image Classification Problem using @PyTorch ":

https://t.co/pvsLWmjQce

#DeepLearning #MachineLearning #PyTorch

[hydrosphere.io @hydrospheredata]

April 30th to May the 3rd - a great data science conference happens - @odsc East 2019!
We have a booth on May 1-2nd and holding a workshop on May 1st on ML workflow automation with @kubeflow.

Come to talk, we're looking forward to see you!

#DataScience #Kubeflow #ODSC

[hydrosphere.io @hydrospheredata]

@Forbes on Concept Drifts and Models Degradation in Production:
https://t.co/CXHUfpl6a4

#AI #MachineLearning #DataScience

[hydrosphere.io @hydrospheredata]

PyTorch-BigGraph for faster embeddings of extremely large graphs:

https://t.co/Gd8jOq0JXr

#MachineLearning #DataScience #PyTorch

[hydrosphere.io @hydrospheredata]

Convolution explanation and implementation (101):

https://t.co/tC9YmAbAJI

#AI #MachineLearning #DataScience #DeepLearning #ComputerVision #Keras

[hydrosphere.io @hydrospheredata]

--
Thread Image licence links:

https://t.co/jN7DZbWeJ0

https://t.co/5c466JUGNl

[hydrosphere.io @hydrospheredata]

Yay! Hydrosphere 2.0.0 release just popped out - hot, shiny, ready for action!

Before details on improvements, short reminder how to contact our team for assistance:

Gitter - https://t.co/vVJu6EjRLv
Twitter - mention @hydrospheredata in your tweet and we will come.

[hydrosphere.io @hydrospheredata]

- CLI (hs) automatically extracts Git and DVC metadata which is stored then along with the model in Hydrosphere model strage.
- Fancy UI got more intuitive and informative.

[hydrosphere.io @hydrospheredata]

Exploring Neural Networks with Activation Atlases -
"explorable activation atlas of features ... which can reveal how the network typically represents some concepts":

https://t.co/eUoEod1sud

#MachineLearning #DataScience #DeepLearning #RootCause #AI

[hydrosphere.io @hydrospheredata]

#TensorFlow has just gone full #Keras:

https://t.co/v1lO2XXjy8

#MachineLearning #DeepLearning #DataScience

[hydrosphere.io @hydrospheredata]

A proper way to convert #Keras model to #TensorFlow saved_model artifact with all the metadata held within:

https://t.co/eY7JrVarpV

#MachineLearning #DeepLearning #DataScience

[hydrosphere.io @hydrospheredata]

Are you going to visit @ODSC East 2019 in Boston?
Our CTO, Stepan Pushkarev, is going to conduct a great workshop on Automating Machine Learning Lifecycle with Kubeflow.

We're also having a booth there on May 1st and 2nd. Come to talk!

[hydrosphere.io @hydrospheredata]

Shimon, the robotic marimba player by Georgia Tech’s Robotic Musicianship group

https://t.co/v5BjPHOIkK

More awesomness and details:
https://t.co/Z0xyVQSY7u

#AI #ML #Robotics #Music

[hydrosphere.io @hydrospheredata]

Exploratory Design in Data Visualization:

https://t.co/25KLc6nMWz

#DataScience, #DataVisualisation #Visualisation

[hydrosphere.io @hydrospheredata]

Learning Agile and Dynamic Motor Skills for Legged Robots
[In 4 to 11 Hours on a Regular Desktop PC]
The video is supercool.

https://t.co/OgilAr0QO1

#AI #ML #Robotics