Juice: The Hacker’s Machine Learning Engine
The Hacker’s Machine Learning Engine. Contribute to spearow/juice development by creating an account on GitHub.
Read more »Mlvt: Machine Learning Visualization Tools in the Terminal
machine learning visualization tools in the terminal – GitHub – bwasti/mlvt: machine learning visualization tools in the terminal…
Read more »A Survey on Machine Learning Techniques for Source Code Analysis
Context: The advancements in machine learning techniques have encouraged researchers to apply these techniques to a myriad of software engineering tasks that use source code analysis such as testing and vulnerabilities detection. A large number of studies…
Read more »Optimistic Visions for the 2020s Involving the Earth, Space and Machine Learning
Introduction In this essay I present two inspirational visions for the 2020s, one involving Earth and the other involving space — both scena…
Read more »Apple Privacy-Preserving Machine Learning Workshop 2022
Earlier this year, Apple hosted the Workshop on Privacy-Preserving Machine Learning (PPML). This virtual event brought Apple and members of…
Read more »Pen and Paper Exercises in Machine Learning
This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected graphical models, expressive power of graphical models, factor gra…
Read more »Deploying Machine Learning Models with FastAPI
Deploying models is a tricky topic. In this posts, we describe 4 key reasons why we’ve chosen FastAPI to deploy out Machine Learning models.
Read more »Foundations of Machine Learning [Playlist]
This 30-session, graduate-level course covers a wide variety of topics in machine learning and statistical modeling. Its purpose is to help make valuable mac…
Read more »Train Machine Learning Models with ML .NET Model Builder on ARM64
Visual Studio 2022 17.3 Preview 2 is now available as a native ARM64 application on Windows 11. This is the first version of Visual Studio that natively supports building and debugging ARM64 apps on ARM-based processors. .NET workloads are one of the prio…
Read more »Machine Learning Frameworks Interoperability P1: Memory Layouts and Memory Pools
Learn about the pros and cons of distinct memory layouts, as well as memory pools for asynchronous memory allocation to enable zero-copy functionality.
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