Note: ML model deployment in production is one of the key topics at Scale By the Bay, the data engineering conference held at Twitter in November.

Studio.mlisan open source project dedicated to helping machine learning (ML) professionals, academics, businesses & anyone else interested inMLmodel building, accelerate & simplify their experiments.

Studio.mlis an early-stage,MLmodel management framework written in Python that was developed to minimize the overhead involved with scheduling, running, monitoring & managing artifacts of your machine learning experiments.

Most of the features are compatible with any PythonMLframework includingKeras,TensorFlow,PyTorch, andscikit-learn, with additional features available for Keras & TensorFlow.

So far, usingStudio.mlyou can:

Capture experiment information- Python environment, files, dependencies, & logs- without modifying the experiment code

Monitor & organize experiments using a web dashboard that integrates withTensorBoard

Run experiments locally, remotely, or in the cloud (Google CloudorAmazon EC2)

Manage artifacts

Perform hyperparameter search

Create customizable Python environments for remote execution

Access the model library to reuse models that have already been created

Speaker:Arshak Navruzyan is vice president of development for Sentients distributed artificial intelligence (DAI) platform.He has been in technology leadership roles at Argyle Data, Alpine Data Labs, Endeca/Oracle & is the founder of Startup.MLmachine learning fellowship program.

About Sentient

Sentient Technologiesis one of the worlds leading artificial intelligence companies, creating breakthrough AI products & research thanks to its advanced AI platform. It has pioneered ways to combine deep learning, evolutionary computation, neuroevolution & other forms of AI, & distribute it across many data centers & on thousands of GPUs & CPUs, a scale unavailable to most companies. Sentients scale & expertise has allowed it to create AI solutions for e-commerce, digital media & finance, as well as partner with renowned institutions, like MIT & Oxford, on projects tackling complex problems in healthcare & agriculture.

https://www.sentient.ai/our-story/