Skip to main content

Home/ Artificial Intelligence/ Group items tagged posts

Rss Feed Group items tagged

Janos Haits

Magenta - 0 views

  •  
    "Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."
smithrobert36

Top 10 Datasets For Machine Learning Project Ideas in [2020] - 0 views

  •  
    There was a time when machine learning datasets were scarce. Now, with the advancement in this field, datasets are readily available across the internet, but still, machine learning experts find it difficult to get relevant datasets for project ideas. By this post, we wish to change that.
Janos Haits

YC AI - 0 views

  •  
    "Our long-term goal is to democratize AI. We want to level the playing field for startups to ensure that innovation doesn't get locked up in large companies like Google or Facebook. If you're starting an AI company, we want to help you succeed. Apply here and mention this post in your application."
Janos Haits

FreedomGPT - 0 views

  •  
    "FreedomGPT 2.0 is your launchpad for AI. With our "App Store" for AI no technical knowledge is required to use the latest AI models in both a private and secure manner. For example, the Liberty model included in FreedomGPT will answer any question without censorship, judgment, or post output bias."
Janos Haits

xAI Gallery | AI Deep Learning - 0 views

  •  
    "Images generated by xAI are undergoing moderation prior to being posted on this gallery page."
Janos Haits

Ocoya: AI Social Media Management - 0 views

  •  
    "Push a button, post on all socials. Social media, content marketing and copywriting - using AI. It's like having ChatGPT, Canva and Hootsuite at your fingertips."
1 - 7 of 7
Showing 20 items per page