Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
DeepPy
Exclusible
neon
PolyGram
NFTb
OpenSea
Formfunction
X2Y2 NFT Marketplace
Sotheby's Metaverse
ExclusibleBased on our record, Keras seems to be a lot more popular than Exclusible. While we know about 31 links to Keras, we've tracked only 3 mentions of Exclusible. 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.
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 month ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / about 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
The Alpha Collection offers a wide range of privileges for all future drops. In essence, Exclusible is building a private community for the holders of its Alpha NFTs. Some of the utilities include Members-only drops: some future-branded NFT collections will be reserved for Exclusiblemembers (i.e., holders of Alpha NFTs), with no public sale. In addition, Alpha NFT holders will enjoy access to Exclusible... Source: over 2 years ago
The decentralized internet has a key role to play in bringing NFT into the metaverse seamlessly and Exclusible has a key role to play by providing the platform for luxury brands to connect with a new kind of audience — a crypto enthusiastic audience in a new kind of world 💣. Source: over 2 years ago
Let's find out Property's NFT's and Exclusible's vision of the metaverse, the potential of digital fashion, and NFTs on Twitter Spaces! Source: over 2 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.
neon - Neon - Showreel 2016-17. Info. Shopping. Tap to unmute. If playback doesn't begin shortly, try restarting your device.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
PolyGram - Discover, collect and sell incredible NFTs on DeSo blockchain.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
NFTb - NFT marketplace for premium digital art built on BSC
