(ML) Models

Openjourney by PromptHero is a free text-to-image AI diffusion model that makes images in the style of Midjourney.

Deliberate All in One / Any Case Version This model provides you the ability to create anything you want. The more power of prompt knowledges you h...

This model is a simple merge of 60% Corneo's 7th Heaven Mix and 40% Abyss Orange Mix 3 . Full credit goes to their respective creators. This is per...

Use activation token modelshoot style at the start of your prompt to incite the effect. For safetensor or diffusers versions, visit my Huggingface ...

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更新版本的V5可以看这个： Newer V5 versions can look at this： 万象熔炉 | Anything V5 | Stable Diffusion Checkpoint | Civitai

MeinaMix objective is to be able to do good art with little prompting. I have a discord where you can share images , discuss prompt and ask for hel...

The RealVisXL-96000 is available now on Hugging Face . This model (RealVisXL) is still in the training phase and is not the final version. Realisti...

We are delighted to announce the public release of Stable Diffusion and the launch of DreamStudio Lite.

Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing - GitHub - qiuyu96/CoDeF: Official PyTorch implementation of CoDeF: Content Deformati...

Nature Biotechnology - Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene...

A neural network is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.

Artificial Intelligence Neural Networks - Yet another research area in AI, neural networks, is inspired from the natural neural network of human nervous system.

This definition explains the meaning of Artificial Neural Network and why it matters.

This definition explains what an Artificial Neural Network (ANN) is and how they learn and operate. Various types of ANN computational models are listed and described as well as the applications, a...

“Deep learning,” the machine-learning technique behind the best-performing artificial-intelligence systems of the past decade, is really a revival of the 70-year-old concept of neural networks.

Artificial Neural Network Tutorial with Introduction, History of Artificial Neural Network, What is ANN, Adaptive Resonance Theory, Building Blocks, Genetic Algorithm etc.

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

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The Artificial Neural Network (ANN) is a deep learning method that arose from the concept of the human brain Biological Neural Networks.

Find out what a neural network is, how and why businesses use neural networks,, and how to use neural networks on AWS.

Learn about neural networks that allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.

Vector is a list of numbers. Vector is widely used in the machine learning area as it is a foundation for many ML methods, like supervised…

A vector is a data structure with at least two components, as opposed to a scalar, which has just one. For example, a vector can represent velocity, an idea that combines speed and direction: wind velocity = (50mph, 35 degrees North East). A scalar, on the other hand, can represent something with one value like temperature or height: 50 degrees Celsius, 180 centimeters. Therefore, we can represent two-dimensional vectors as arrows on an x-y graph, with the coordinates x and y each representing one of the vector’s values.

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Naive Bayes Algorithm is a classification method that uses Bayes Theory. It assumes the presence of a specific attribute in a class.