Welcome to the world of H2O, an extraordinary in-memory platform that empowers developers and data scientists alike to perform distributed and scalable machine learning with ease. Whether you’re a newbie or a seasoned pro, this guide will walk you through the...
Welcome to the world of interpretability in machine learning! Today, we'll explore how to use the Inseq library, a powerful toolkit designed specifically for understanding sequence generation models. This toolkit makes it easy to conduct post-hoc interpretability...
OneFlow is taking the deep learning world by storm with its user-friendly, scalable, and efficient framework. Designed to make deep learning accessible for everyone, OneFlow allows users to program models using a familiar syntax and scale them seamlessly. In this...
Welcome to your essential guide on utilizing the API for the SemanticKITTI dataset! This repository comes equipped with various tools that allow you to open, visualize, process, and evaluate results for point clouds and labels from SemanticKITTI. Getting Started with...
If you're diving into the world of machine learning, specifically regression and multiclass classification models, you're in for a treat. Today, we’ll explore **Probatus**, a python package that offers essential tools for validating your models and the data used to...
Have you ever wished to recover a frontal view image of a person from a single image, regardless of the pose? Enter TP-GAN, a TensorFlow implementation designed specifically for photorealistic and identity-preserving frontal view synthesis. This article will take you...
This blog aims to provide a user-friendly approach to understanding deep learning models for text classification. With the rapid advancements in Natural Language Processing (NLP), it's essential to stay updated with the latest methodologies. In this article, we’ll...
Natural Language Processing (NLP) has become a pivotal aspect of artificial intelligence, enabling machines to understand and interact with human language. Microsoft Research is at the forefront of this dynamic field, offering valuable open-source projects that...
Increasing the learning rate gradually during training can significantly enhance model performance, especially in deep learning scenarios. In this blog, we'll explore how to implement a gradual warm-up learning rate using PyTorch, inspired by the efficient training...
