Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.
Based on our record, PyTorch seems to be a lot more popular than Prisma. While we know about 133 links to PyTorch, we've tracked only 5 mentions of Prisma. 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.
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 3 days ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / 16 days ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / about 1 month ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 3 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 3 months ago
What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: about 2 years ago
Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 3 years ago
I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: over 3 years ago
I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: almost 4 years ago
Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 4 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.
Deepart.io - Artificial intelligence turning your photos into art
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.