Sirv hosts, processes and optimizes images on-the-fly, empowering you to achieve near-instant page load time. With easy digital asset management across your organization, Sirv is a joy to use. Sirv delivers the fastest 360-degree spin and deep zoom images, a perfect solution for retailers who like to give richer product experiences to their shoppers. Start your free trial at the Sirv website today.
Based on our record, PyTorch seems to be a lot more popular than Sirv. While we know about 106 links to PyTorch, we've tracked only 3 mentions of Sirv. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 14 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 2 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months ago
Then you can use something like Adobe Dynamic Media (previously scene7) or Sirv (https://sirv.com/) for the digital assets. The images are layered as selections are made. Source: over 1 year ago
I'm working on a blog with SvelteKit and the template someone posted a couple days ago. I got my images uploaded on sirv. I'm using adapter-static and deploying on render. Source: over 2 years ago
Sirv.com — Smart Image CDN with on-the-fly image optimization and resizing. Free tier includes 500 MB of storage and 2 GB bandwidth. - Source: dev.to / almost 3 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.