SKU: 72118004856

Neko Pet Urn for Ashes - Glossy Blue | Ceramic | Handmade

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Description

Neko Pet Urn for Ashes - Glossy Blue | Ceramic | HandmadeABOUT THIS PET CREMATION URN High quality ceramic cremation urn for pets ashes, suitable for home or garden. This is a cat pet urn. Cats are our constant companions. Saying goodbye to a furry pet friend and choosing the right pet memorial, to honour your precious moments together, is not an easy task. We designed this handmade cat urn for ashes, to celebrate the life of our beloved friends and remember them forever. This beautiful color is achieved

✅ABOUT THIS PET CREMATION URN

High-quality ceramic cremation urn for pets ashes, suitable for home or garden. This is a cat pet urn.

Cats are our constant companions. Saying goodbye to a furry pet friend and choosing the right pet memorial, to honour your precious moments together, is not an easy task. We designed this handmade cat urn for ashes, to celebrate the life of our beloved friends and remember them forever.

This beautiful color is achieved throught the process of titanization with ionic plasma. This process covers the ceramic with unique color layer, similar to metallic.

🔴 Watch a detailed video of this cat pet urn for ashes HERE . Please, note that all videos are illustrative and the color may not correspond to the actual urn on the photos.

Cremation Urn Catalogue number: NEKO-G11

✅CREMATION PET URN DETAILS

Bottom filled/ No bag needed

Suitable for outdoors and home

Material: Ceramic

height 24 cm | 9.4 in
width 18 cm | 7.1 in
length 13 cm | 5.1 in
capacity 1.6 L | 97 cu in
weight 1.1 kg | 2.4 lbs.



✅ SEALING THE PET URN


We recommend sealing the ceramic cap to the plastic lid, after the lid is inserted in the urn, so it is kept in place. Note that sometimes the ceramic cap does not fit tightly.


✅ SHIPPING (free). Customs duties and taxes may apply.

Import duties and local taxes are NOT included in the delivery and are due by the customer.



To USA: Shipping to USA & UK is performed by UPS and it takes 3-5 business days.

Worldwide (excl. Europe & USA): Shipping is performed by UPS and the delivery time depends on your location, but not more than 10 business days.

We offer expedited shipping.


✅ HANDLING TIME : less than 1 business day.

✅ FIND MORE ABOUT PULVIS ART URNS ONLINE:

Global Website: https://www.pulvisurns.com

Etsy Shop: https://www.etsy.com/shop/PulvisArtUrns
Facebook: https://www.facebook.com/PulvisArtUrns/
Instagram: https://www.instagram.com/pulvisarturns/
Pinterest: https://www.pinterest.com/pulvisarturns/
Blog: https://www.pulvisurns.com/blogs/news
YouTube channel: https://bit.ly/2kOOYSr

Flickr: https://www.flickr.com/people/pulvisurns/
Tumblr: https://www.tumblr.com/pulvisarturns
Tik-Tok: https://www.tiktok.com/@pulvisurns
LinkedIn: https://www.linkedin.com/company/18007238/

More About Neko Pet Urn for Ashes

Introducing the "More About Neko Pet Urn for Ashes" in Glossy Blue, a poignant creation by Pulvis Art Urns. Crafted with sustainability at its core, this urn exemplifies the harmony between reverence for beloved pets and environmental consciousness.

Innovative in both manufacturing and packaging, Pulvis Art Urns demonstrates a commitment to reducing its ecological footprint without compromising on quality or aesthetics. Each glossy blue urn is a testament to the brand's dedication to sustainable practices.

But it's not just about sustainability; it's about honoring the memory of cherished pets in a truly unique way. The contemporary design of the Neko Pet Urn is a blend of elegance and modernity, offering a fitting resting place for the ashes of beloved companions.

With Pulvis Art Urns, grieving pet owners can find solace in knowing that their furry friends are memorialized with dignity, while also contributing to a more sustainable future.

Pulvis Art Urns - Designing and Manufacturing Handmade Urns for Ashes since 2017.

A world leader in the design and manufacturing of high-end memorial products, Pulvis Art Urns is a unique mix of innovation, art and meticulousness in the quest for excellence.
All of our urns for ashes, keepsake urns, pet memorials and memorial accessories are handmade in Europe and certified by the ISO standards.
Fruit of constant artistic restlessness and dedicated customers service, Pulvis Art Urns is a brand that stands for a contemporary, stylish and exclusive memorial urn.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 72118004856

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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
A
Verified Purchase
Amazon Customer
Waukegan, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Phoenix, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Dallas, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
New York, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Phoenix, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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