Machine Learning & Artificial Intelligence

Lectures for UC Berkeley CS 285: Deep Reinforcement Learning.

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving car...

The videos in this series are part of the lectures in this Stanford Graduate course CS224U. This project-oriented class is focused on developing systems and ...

All videos from the Hugging Face Course: hf.co/course

Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers ar...

More about the course: http://deepcreativity.csail.mit.edu/​ Information about accessibility can be found at https://accessibility.mit.edu/

Course lectures for MIT Introduction to Deep Learning. http://introtodeeplearning.com

Course Website & Materials: https://kuleshov-group.github.io/aml-website/ Lecture Notes: https://kuleshov-group.github.io/aml-book/intro.html Course Material...

Lectures for the course "Introduction to Machine Learning" (Machine Learning I) by Dmitry Kobak, University of Tübingen, Winter Term 2020/21. The lectures we...

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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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