Submissions are accepted with any project based on neural networks: an application, a website, program, or mod for your favourite game. All projects will be published with open source code, and the winners will share 70 ETH.
If you created a beautiful application that does not work, there's no point in it. If all your application design is an "Upload" button on a white background, but that the user automatically receives an interestingly edited photo, we will gladly accept this project for the contest.
Today's Ethereum exchange rate: $48 100 Ethereum Wallet Prize Fund Address
Submissions are accepted through May 20th.
On May 21st, all submitted projects will be published on the site with open source code. Everyone can look at the entries and comment on them.
Participants choose the winners themselves by May 27th. Each participant will have five votes to distribute between the best projects. You can't vote for yourself.
Winners will be announced on May 28th.
Like everyone else, we got tired of stale cookies and sleeping bags at hackathons. It's cool the first time you do it, but truly high-quality products are developed in comfortable conditions without rushing. We are interested in quality.
Participants of the contest choose the winners themselves. On May 20th, we publish all the entries on the websitesite and the voting begins.
Each participant has five votes to distribute among their favorite projects. One vote per entry. You can't vote for yourself.
If a participant didn't assign all their votes by May 27th, their entry is disqualified from the contest.
In disputed cases, the contest organizers will determine the winner.
We would like the contest participants to create projects that can handle content, with content generation and processing.
Here are some projects that we think are interesting applications of neural networks in everyday life:
Your project does not have to radically change people's lives just make life a little more interesting.
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Using Neural Networks to Help Write Emails
Image Inpainting for Irregular Holes Using Partial Convolutions
Now Easily. Neural Network Removes Haze from Single Images
What I See vs What My Camera Sees: How DNN Can Bring Details Back to Overexposed and Underexposed Images
Face Swapping Using Face and Hair Representation
New Approach to Recovering 3D Shape Structure from a Single 2D Image
Neural Network Compresses Images Without Loss Of Quality
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
Smart Camera Teaches Snowboarders
Neural Network Has Learned to Separate Individuals' Speech on Video
We created chats in Telegram and Slack to exchange experiences and stickers. Use the chat to discuss the contest and submitted entries, or to find a partner to join your team. Go ahead and join the chat, even if you aren't planning to participate in the contest.