Welcome to a dive into Petastorm, an open-source data access library developed at Uber ATG! This library is designed to seamlessly enable the training and evaluation of deep learning models from datasets housed in Apache Parquet format. If you're ready to bridge the...
Data Science
Decentralized Deep Learning with Hivemind in PyTorch
Welcome to the world of decentralized deep learning, where multiple computers come together like bees in a hive to train large neural models collaboratively. In this article, we will explore how to get started with Hivemind, a PyTorch library designed for...
How to Set Up and Use Hunspell: A Comprehensive Guide
Hunspell is a powerful spell checker and morphological analyzer, widely used in various applications like LibreOffice, Mozilla Firefox, and Google Chrome. This guide will take you through the steps required to set up and use Hunspell effectively, ensuring that you can...
How to Use CycleISP for Real Image Restoration via Improved Data Synthesis
In the evolving realm of image processing, the CycleISP framework has emerged as a groundbreaking tool for image denoising. This guide will walk you through the process of using CycleISP to restore your images, troubleshoot common issues, and bolster your...
How to Use Text Augmentation-GPT2 for Topic-Specific Text Generation
In today's world, enhancing your text data can be a game-changer for various applications, especially in Natural Language Processing (NLP). The Text Augmentation-GPT2 provides an effective solution for generating topic-specific text by leveraging a fine-tuned version...
Papers in 100 Lines of Code: A Quick Guide
In the fast-paced world of Artificial Intelligence, the need to condense intricate research findings into digestible code is more crucial than ever. "Papers in 100 Lines of Code" is an innovative initiative that translates groundbreaking research papers into concise...
Can AI Code? A Guide to Understanding AI Coding Models
In the rapidly evolving world of artificial intelligence, one fascinating question arises: Can AI truly code? This article dives into the realm of AI coding models, exploring self-evaluating interviews designed to assess their coding abilities, alongside...
Recent AI Advances: Tutorials and Surveys in Top AI Conferences and Journals
The field of Artificial Intelligence (AI) is evolving at lightning speed, with tutorials and surveys paving the way for researchers and engineers alike to stay up-to-date with crucial advancements. This article delves into an expertly curated collection of tutorials...
Meta Learning: Learning to Learn
In the fast-evolving field of artificial intelligence, meta-learning has emerged as a beacon of innovation. It embodies the idea of teaching machines to learn more effectively from specific tasks, significantly enhancing their ability to generalize knowledge across...
