নভেম্বর ০৯, ২০২০ —
Posted by Marcus Chang, TensorFlow Program Manager
In June we started the TensorFlow Community Spotlight Program to offer the developer community an opportunity to showcase their hard work and passion for ML and AI by submitting their TensorFlow projects for the chance to be featured and recognized on Twitter with the hashtag #TFCommunitySpotlight.
Now a little over four months in, we’ve receive…
In June we started the TensorFlow Community Spotlight Program to offer the developer community an opportunity to showcase their hard work and passion for ML and AI by submitting their TensorFlow projects for the chance to be featured and recognized on Twitter with the hashtag #TFCommunitySpotlight.
Olesya Chernyavskaya, a Community Spotlight winner, created a tool in TensorFlow to track posture and blur the screen if a person is sitting poorly. |
Now a little over four months in, we’ve received many great submissions and it’s been amazing to see all of the creative uses of TensorFlow across Python, JavaScript, Android, iOS, and many other areas of TensorFlow.
We’d like to learn about your projects, too. You can share them with us using this form. Here are our previous Spotlight winners:
Pranav Natekar
Pranav used TensorFlow to create a tool that identifies patterns in Indian Classical music to help students learn the Tabla. Pranav’s GitHub → http://goo.gle/2Z5f7Op
Olesya Chernyavskaya
Working from home and trying to improve your posture? Olesya created a tool in TensorFlow to track posture and blur the screen if a person is sitting poorly. Olesya's GitHub → https://goo.gle/2CAHvz9
Javier Gamazo Tejero
Javier used TensorFlow to capture movement with a webcam and transfer it to Google Street View to give a virtual experience of walking through different cities. Javier’s GitHub → https://goo.gle/3hgkmBc
Hugo Zanini
Hugo used TensorFlow.js to create real-time semantic segmentation in a browser. Hugo’s GitHub → https://goo.gle/310RDKc
Yana Vasileva
Ambianic.ai created a fall detection surveillance system in which user data is never sent to any 3rd party cloud servers. Yana’s GitHub → goo.gle/2XvYY3q
Samarth Gulati and Praveen Sinha
These developers had artists upload an image as a texture for TensorFlow facemesh 3D model and used CSS blend modes to give an illusion of face paint on the user's face. Samarth’s GitHub → https://goo.gle/2Qe3Gyx
Laetitia Hebert
Laetitia created a model system for understanding genes, neurons and behavior of the Roundworm, as it naturally moves through a variety of complex postures. Laetitia’s GitHub → https://goo.gle/2ZgLZ6L
Henry Ruiz
Rigging.js is a react.js application that utilizes the facemesh Tensorflow.js model. Using a camera, it maps the movements of a person into a 3D model. Henry’s GitHub → https://goo.gle/3iCXBZj
DeepPavlov.ai
The DeepPavlov AI library solves numerous NLP and NLU problems in a short amount of time using pre-trained models or training your own variations of the models. DeepPavlov’s GitHub → https://goo.gle/3jl967S
Mayank Thakur
Mayank created a special hand gesture feature to go with the traditional face recognition lock systems on mobile phones that will help increase security. Mayank’s GitHub → https://goo.gle/3j7evyN
Firiuza Shigapova
Using TensorFlow 2.x, Firiuza built a library for Graph Neural Networks containing GraphSage and GAT models for node and graph classification problems. Firiuza’s GitHub → https://goo.gle/3kFcmvz
Thank you for all the submissions thus far. Congrats to the winners, and we look forward to growing this community of Community Spotlight recipients so be sure to submit your projects here.
নভেম্বর ০৯, ২০২০
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Posted by Marcus Chang, TensorFlow Program Manager
In June we started the TensorFlow Community Spotlight Program to offer the developer community an opportunity to showcase their hard work and passion for ML and AI by submitting their TensorFlow projects for the chance to be featured and recognized on Twitter with the hashtag #TFCommunitySpotlight.
Now a little over four months in, we’ve receive…