Open Math Coourses from Kyiv Polytechnic Institute (Ukrainian language only)
https://bit.ly/2IX9SZp
https://bit.ly/2IX9SZp
New awesome article from Distill Pub https://distill.pub/2019/activation-atlas/
Distill
Activation Atlas
By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what concepts it typically represents.
Generating music by OpenAI team https://openai.com/blog/musenet/
Openai
MuseNet
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music…
Interesting article to read about handling unlabeled data
https://arxiv.org/abs/1905.00546
https://arxiv.org/abs/1905.00546
arXiv.org
Billion-scale semi-supervised learning for image classification
This paper presents a study of semi-supervised learning with large convolutional networks. We propose a pipeline, based on a teacher/student paradigm, that leverages a large collection of...
Google released updated landmark dataset
https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html
https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html
research.google
Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & R
Posted by Bingyi Cao and Tobias Weyand, Software Engineers, Google AI Last year we released Google-Landmarks, the largest world-wide landmark rec...
Very interesting paper about optimization of models, with step by step pruning process.
ICLR'19 best paper
https://arxiv.org/abs/1905.01067
ICLR'19 best paper
https://arxiv.org/abs/1905.01067
arXiv.org
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
The recent "Lottery Ticket Hypothesis" paper by Frankle & Carbin showed that a simple approach to creating sparse networks (keeping the large weights) results in models that are trainable from...
New interesting paper about segmentation https://arxiv.org/pdf/1905.01892v1.pdf
#newbies
Collection of TF tutorials
https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ
Collection of TF tutorials
https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ
Unsupervised scene decomposition
https://arxiv.org/abs/1901.11390
https://arxiv.org/abs/1901.11390
arXiv.org
MONet: Unsupervised Scene Decomposition and Representation
The ability to decompose scenes in terms of abstract building blocks is crucial for general intelligence. Where those basic building blocks share meaningful properties, interactions and other...
+2.8M images with precise segmentation masks from Google https://ai.googleblog.com/2019/05/announcing-open-images-v5-and-iccv-2019.html?fbclid=IwAR1jiDKPtKVfZItxpZLMIYE8fS8n5PboLsB6VU5YRMlpBpQqhXPHnazrnVY
research.google
Announcing Open Images V5 and the ICCV 2019 Open Images Challenge
Posted by Vittorio Ferrari, Research Scientist, Machine Perception In 2016, we introduced Open Images, a collaborative release of ~9 million imag...
Очередной крутой пейпер от NVidia. На сей раз о собачках))
https://nvlabs.github.io/FUNIT/index.html
https://nvlabs.github.io/FUNIT/index.html
nvlabs.github.io
Few-Shot Unsupervised Image-to-Image Translation
And here are two examples:
1) https://colab.research.google.com/github/tensorflow/graphics/blob/master/tensorflow_graphics/notebooks/6dof_alignment.ipynb
2) https://colab.research.google.com/github/tensorflow/graphics/blob/master/tensorflow_graphics/notebooks/reflectance.ipynb
1) https://colab.research.google.com/github/tensorflow/graphics/blob/master/tensorflow_graphics/notebooks/6dof_alignment.ipynb
2) https://colab.research.google.com/github/tensorflow/graphics/blob/master/tensorflow_graphics/notebooks/reflectance.ipynb
Google
6dof alignment.ipynb
Run, share, and edit Python notebooks
190 Tutorials for young specialists
https://www.kaggle.com/kashnitsky/mlcourse/kernels
https://www.kaggle.com/kashnitsky/mlcourse/kernels
Kaggle
mlcourse.ai
Datasets and notebooks of the open Machine Learning course mlcourse.ai
Museum of Dali in Florida, used DeepFake model to create interactive video box with Dali.
"""Next step are movies.
https://youtu.be/BIDaxl4xqJ4
"""Next step are movies.
https://youtu.be/BIDaxl4xqJ4
YouTube
Behind the Scenes: Dalí Lives
Dalí Lives – Art Meets Artificial Intelligence. Exclusively at The Dalí Museum.
The Dalí Museum in St. Petersburg, Florida partnered with Goodby Silverstein & Partners to create a groundbreaking Artificial Intelligence (AI) experience. "Dalí Lives" will…
The Dalí Museum in St. Petersburg, Florida partnered with Goodby Silverstein & Partners to create a groundbreaking Artificial Intelligence (AI) experience. "Dalí Lives" will…