Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
A cloud based security awareness training in the form of a new, realistic, interactive and fun experience. Take on the role of a hacker and encounter multiple security topics and 25 learning points.
We chose to work with style transfer and experiment with the Chinese ink style. We plan to exploit CNN for neural style transfer and GAN for image colorization.
The team wants to solve a new problem by applying the deep learning model to develop a recommender system for dental care.
The study of the usages of urban greeneries are helpful in understanding their mental and physical health benefits on the community. We predict the function of an urban greenery given images of it.
Signature forgery detection using Siamese Convolutional Neural Networks
Using deep learning to detect anomalies in system logs.
Using Dueling Double DQN to train the model on multiple similar domains, and transferring experience we created a model that can be used to train on multiple games of similar genre.
“Inspired by Cher's DressMe from the iconic movie, "Clueless", we seek to implement a fashion-informed deep learning model geared toward outfit generation.
In this project, we want to utilize the ability of deep learning with object detection that involves identifying traffic lanes in digital photographs.
Traffic Sign classification using a Convolutional Neural Network
Never crash your whip ever again in GTA5
A vector-based generation model that predicts the next possible keyframes for animation given an SVG input in real-time.