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Behance
python-recsysBehance is recommended for creative professionals such as graphic designers, illustrators, photographers, and artists looking to build an online portfolio, network with industry peers, and potentially attract freelance or full-time job opportunities. It is particularly beneficial for those already using Adobe Creative Cloud applications.
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Based on our record, Behance seems to be more popular. It has been mentiond 35 times since March 2021. 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.
Behance Behance.net Adobeโs platform for creative work, including UX case studies. - Source: dev.to / over 1 year ago
Ps: if you don't know about them, you might check out awwwards.com, dribbble.com, and behance.net for more inspiration. Source: over 3 years ago
Here's my portfolio.. What type of clothing brand? Let's get it done. Source: over 3 years ago
Dribbble.com or behance.net are common. Source: over 3 years ago
I have drawn several couple pieces before! I'd love to do yours! Check out my art in my portfolio here https://behance.net/talhakun โจ๏ธ. Source: over 3 years ago
Dribbble - Shots from popular and up and coming designers in the Dribbble community, your best resource to discover and connect with designers worldwide.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DeviantArt - deviantART was created to entertain, inspire, and empower the artist in all of us.
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
about.me - About.me lets you quickly build simple and visually elegant splash pages that points visitors to your content from around the web. Get started today.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.