19 Everyday Products Made of Recycled Materials (2023): Chargers, Watches, Toys
Tread lightly on our planet with toys and accessories made from repurposed plastic, and many other Earth-friendly picks.
Girl came out super clean and love the background!!!
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Creating a Training Loop for PyTorch Models
PyTorch provides a lot of building blocks for a deep learning model, but training loop is not part of them. It is a flexibility provided that you can do whatever you want during training, but some basic structure is universal across most use cases. In this post, you will see how to make a training …
9 Best TVs We’ve Tested (2023): Cheap, 4K, 8K, OLED, and Tips
From LCDs to fancy OLED models, these are our favorite televisions at every price point.
I recreated some video game characters as Disney princesses (details in comments).
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Develop Your First Neural Network with PyTorch, Step-by-Step
PyTorch is a powerful Python library for building deep learning models. It provides everything you need to define and train a neural network and use it for inference. You don’t need to write a lot of code to get all these done. In this pose, you will discover how to create your first deep learning …
Read more “Develop Your First Neural Network with PyTorch, Step-by-Step”
‘Menswear Guy’ Marks a Shift in Twitter’s Main Characters
It used to be someone who stepped into the fray. Now, it can be anyone.
How AI can help reduce food waste
AI can help reduce greenhouse gas emissions by reducing food waste and by nudging consumers to eat more sustainable foods.Read More
AI technology generates original proteins from scratch
Scientists have created an AI system capable of generating artificial enzymes from scratch. In laboratory tests, some of these enzymes worked as well as those found in nature, even when their artificially generated amino acid sequences diverged significantly from any known natural protein.
I figured out a way to apply different prompts to different sections of the image with regular Stable Diffusion models and it works pretty well.
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