PyOxidizer uses Rust to make Python executables
A new project written in Rust aims to make it easier to distribute Python applications as standalone binaries
Stories by Serdar Yegulalp
PyText builds on PyTorch for language recognition
A Facebook project for natural language processing is now open source, and it promises better ways to mine texts for meaning
AWS piles on the machine learning services
Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud
Microsoft revamps machine learning tools for Apache Spark
The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings
Microsoft smartens up the ML.Net machine learning API
Microsoft’s TensorFlow-compatible machine learning framework debuts a reworked API for more flexible pipelines and improved prediction performance
PyTorch 1.0 accelerates Python machine learning with native code
The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code
Nuitka Python-to-C compiler readies big performance gains
Nuitka 0.6 lays the groundwork for major code optimizations — and faster and more portable Python applications
New Python app profiler uses Rust for speed and safety
The Py-Spy profiler can profile Python applications without modifying source code, and it installs using Python’s native package management
Microsoft adds Python support to Power BI
A preview feature allows Python scripts to be used as data sources and as a way to create visualizations in Power BI Desktop
ML.Net aims to provide machine learning for .Net developers
Microsoft's new machine learning framework promises high-level APIs to make model training and predictions easy, along with strong integration of .Net language features
What is NoSQL? NoSQL databases explained
SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale
AWS and Microsoft combine to drive deep learning in the cloud
An AWS and Microsoft joint effort makes neural networks easier to program and use with the MXNet and Microsoft Cognitive Toolkit frameworks.
What is Grafeas? Better auditing for containers
Google's Grafeas provides a common API for metadata about containers, from image and build details to security vulnerabilities
ONNX makes machine learning models portable, shareable
Microsoft and Facebook's machine learning model format aims to let devs choose frameworks freely and share trained models without hassle
Microsoft linker tool shrinks .Net applications
The .Net IL Linker reduces the footprint of .Net apps by discarding unused libraries and references, although it's still in the preview stages