Google as always doesn't say nothing about his updates)))
So that will do i. Google added possibility to Google Colab, to run your code on TPU instance for free.
Good way to test them.
https://colab.research.google.com -> Runtime -> Change runtime type
So that will do i. Google added possibility to Google Colab, to run your code on TPU instance for free.
Good way to test them.
https://colab.research.google.com -> Runtime -> Change runtime type
Google
Google Colab
If someone looking for a start for his career it could be good case. Here you can get possibility to join on Facebook for internship
https://www.facebook.com/events/341908449878336/
https://www.facebook.com/events/341908449878336/
If you still didnt see this. You should look
https://github.com/tensorflow/lucid
https://github.com/tensorflow/lucid
GitHub
GitHub - tensorflow/lucid: A collection of infrastructure and tools for research in neural network interpretability.
A collection of infrastructure and tools for research in neural network interpretability. - tensorflow/lucid
Good leactures about Linear Algebra from MIT
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
As always very powerful article from distillpub
https://distill.pub/2018/feature-wise-transformations/
https://distill.pub/2018/feature-wise-transformations/
Distill
Feature-wise transformations
A simple and surprisingly effective family of conditioning mechanisms.
Iinteresting paper
http://geometry.cs.ucl.ac.uk/projects/2018/garment_design/?fbclid=IwAR0AZj-nckzh8kSTFjsE7wg00Jwo3DE7ZFSMQikdlkXAzB1yWZNQPLUC5G0
http://geometry.cs.ucl.ac.uk/projects/2018/garment_design/?fbclid=IwAR0AZj-nckzh8kSTFjsE7wg00Jwo3DE7ZFSMQikdlkXAzB1yWZNQPLUC5G0
geometry.cs.ucl.ac.uk
SGP | UCL
Publication webpage of Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic, Niloy J. Mitra Learning a Shared Shape Space for Multimodal Garment Design
This is fucking blowing stuff! Real working neuro-interface between people
https://youtu.be/6IsIGp1IezE
https://youtu.be/6IsIGp1IezE
YouTube
Brain-to-Brain Communication is Coming!
The paper "BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains" is available here:
https://arxiv.org/abs/1809.08632
Pick up cool perks on our Patreon page:
› https://www.patreon.com/TwoMinutePapers
We would like to…
https://arxiv.org/abs/1809.08632
Pick up cool perks on our Patreon page:
› https://www.patreon.com/TwoMinutePapers
We would like to…
New paper about layered-materials simulation for rendering
https://www.youtube.com/watch?v=Bv3yat484aQ
https://www.youtube.com/watch?v=Bv3yat484aQ
YouTube
Multilayer Light Simulations: More Beautiful Images, Faster
The paper "Position-Free Monte Carlo Simulation for Arbitrary Layered BSDFs" is available here:
https://shuangz.com/projects/layered-sa18/
My Rendering course at the TU Wien:
https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi
More…
https://shuangz.com/projects/layered-sa18/
My Rendering course at the TU Wien:
https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi
More…
Unsupervised deep clustering
https://arxiv.org/abs/1807.05520
https://github.com/facebookresearch/deepcluster
https://arxiv.org/abs/1807.05520
https://github.com/facebookresearch/deepcluster
arXiv.org
Deep Clustering for Unsupervised Learning of Visual Features
Clustering is a class of unsupervised learning methods that has been extensively applied and studied in computer vision. Little work has been done to adapt it to the end-to-end training of visual...
Adobe one of the major developers of computer vision algorithms. Show new cool stuff)
https://www.youtube.com/watch?v=dM-lX9c3Pqw&feature=youtu.be
https://www.youtube.com/watch?v=dM-lX9c3Pqw&feature=youtu.be
YouTube
#MovingStills: Adobe MAX 2018 (Sneak Peek) | Adobe Creative Cloud
Enables any photograph to be turned into a live photo; animating the image in 3D, simulating the realistic effect of flying through the scene. Read more about this year's #AdobeMAX Sneak Peeks: https://adobe.ly/2yra9xG
Subscribe: https://www.youtube.com…
Subscribe: https://www.youtube.com…
Awesome vid2vid network from. NVIDIA https://github.com/NVIDIA/vid2vid
GitHub
GitHub - NVIDIA/vid2vid: Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video…
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation. - NVIDIA/vid2vid
New super resolution GAN - preatty impressive
https://github.com/xinntao/ESRGAN
https://github.com/xinntao/ESRGAN
GitHub
GitHub - xinntao/ESRGAN: ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training…
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR. - xinntao/ESRGAN
Art + Neural Networsk == Awesome
http://nips4creativity.com/
http://nips4creativity.com/
NIPS Machine Learning Art - Crafting the Future: Where Neural Inspiration Meets Artistic Expression
AI Gallery: Future of Artistic Innovation at NIPS Machine Learning
Dive into the realm of artistic innovation at the AI Gallery, where the NIPS Machine Learning exhibition showcases the forefront of creativity. Explore groundbreaking artworks that blend artificial intelligence with human ingenuity, offering a glimpse into…
Pose estimation, style transfer and full body generation with VUnet https://compvis.github.io/vunet/
MIT invested $1Billion into the education by creating AI College
http://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015
http://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015
MIT News | Massachusetts Institute of Technology
MIT reshapes itself to shape the future
A gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs in computer science and artificial intelligence and their ethical applications.
This is what you definitely should watch.
Video of Oles Petriv report at AI Ukraine
"LATEST IMPROVEMENTS IN VIDEO SUPER RESOLUTION USING GENERATIVE ADVERSARIAL NETWORKS"
https://www.youtube.com/watch?v=keLf8sNCF4s&fbclid=IwAR2uCkP-cqD0gR7tGG_rHT8VhiOPx0O9EiP_66saQLR5AKcKYr392pPjMq4
Video of Oles Petriv report at AI Ukraine
"LATEST IMPROVEMENTS IN VIDEO SUPER RESOLUTION USING GENERATIVE ADVERSARIAL NETWORKS"
https://www.youtube.com/watch?v=keLf8sNCF4s&fbclid=IwAR2uCkP-cqD0gR7tGG_rHT8VhiOPx0O9EiP_66saQLR5AKcKYr392pPjMq4
Nvidia created environment for train RL bots simultaneously. Pretty cool if u dont want to mess up with physics engine by yourself
https://arxiv.org/abs/1810.05762
https://arxiv.org/abs/1810.05762
New interesting paper about sound localisation on video
http://sound-of-pixels.csail.mit.edu/
http://sound-of-pixels.csail.mit.edu/