Tag: ML

A deep ranking personalization framework

A deep ranking personalization framework

A deep ranking personalization framework linkedin/gdmix Generalized Deep Mixed Model (GDMix) is a framework to train non-linear fixed effect and random effect models. This kind of models are widely used in personalization of search and recommen …

ML.NET September Updates

ML.NET September Updates

ML.NET September Updates ML.NET September Updates | .NET Blog ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave th …

A generative modeling approach for benchmarking and training shallow quantum circuits

A generative modeling approach for benchmarking and training shallow quantum circuits

A generative modeling approach for benchmarking and training shallow quantum circuits A generative modeling approach for benchmarking and training shallow quantum circuits Hybrid quantum-classical algorithms provide ways to use noisy intermedia …

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display C# implementation of a simple classification problem (recognizing digits from the MNIST dataset). Working through ex …

Interpretable machine learning models (imodels)

Interpretable machine learning models (imodels)

Interpretable machine learning models (imodels) csinva/interpretability-implementations-demos Scikit-learn style wrappers/implementations of different interpretable models. Docs available here. The interpretable models within the imodels folder …

An Introduction to Adversarial Examples in Deep Learning

An Introduction to Adversarial Examples in Deep Learning

An Introduction to Adversarial Examples in Deep Learning Weights & Biases This report provides an intuitive introduction to adversarial examples, discusses a wide variety of different adversarial attacks and, most notably, provides advice o …

Core ML

Core ML

Core ML Core ML is optimized for on-device performance of a broad variety of model types by leveraging Apple hardware and minimizing memory footprint and power consumption. Source: https://developer.apple.com/machine-learning/core-ml/ …

Introduction — Spinning Up  documentation

Introduction — Spinning Up documentation

Introduction — Spinning Up documentation Introduction — Spinning Up documentation Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). …

Edge Impulse

Edge Impulse

Edge Impulse Edge Impulse Edge Impulse enables developers to create the next generation of intelligent device solutions with embedded machine learning Source: www.edgeimpulse.com/ …

Using Kalman Filter to Predict Coronavirus Spread

Using Kalman Filter to Predict Coronavirus Spread

Using Kalman Filter to Predict Coronavirus Spread Using Kalman Filter to Predict Coronavirus Spread This article presents an implementation of online real time Kalman filter algorithm to predict the spread of COVID-19 per every given… Source: …

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