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https://github.com/facebookresearch/fastText
If you missed it, there is yet another great project for text mining
If you missed it, there is yet another great project for text mining
GitHub
GitHub - facebookresearch/fastText: Library for fast text representation and classification.
Library for fast text representation and classification. - facebookresearch/fastText
Great @addmeto channel just posted a link to https://github.com/paarthneekhara/text-to-image
This is an image generation from text. Nice example of end2end learning.
This is an image generation from text. Nice example of end2end learning.
GitHub
GitHub - paarthneekhara/text-to-image: Text to image synthesis using thought vectors
Text to image synthesis using thought vectors. Contribute to paarthneekhara/text-to-image development by creating an account on GitHub.
Post from FB research team: https://research.facebook.com/blog/learning-to-segment/
And direct github link: https://github.com/facebookresearch/deepmask
And direct github link: https://github.com/facebookresearch/deepmask
Meta Research
Blog - Meta Research
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
Facebook revealed list of universities that will receive academically support. Check if your school received one and have our congratulations. And don't hesitate to congrat your colleagues
https://research.facebook.com/blog/facebook-to-accelerate-global-ai-research-with-new-gpu-program-recipients/
https://research.facebook.com/blog/facebook-to-accelerate-global-ai-research-with-new-gpu-program-recipients/
Facebook Research
Facebook to Accelerate Global AI Research with New GPU Program Recipients
Facebook is announcing new recipients to the GPU Partnership Program
How Sander Dieleman gor into Google DeepMind through Kaggle:
http://blog.kaggle.com/2016/08/29/from-kaggle-to-google-deepmind-an-interview-with-sander-dieleman/
http://blog.kaggle.com/2016/08/29/from-kaggle-to-google-deepmind-an-interview-with-sander-dieleman/
Medium
Kaggle Blog β Medium
Official Kaggle Blog ft. interviews from top data science competitors and more!
Post about openai infrastructure for deep learning.
This is extremely rare case, because usually this information is not available and discussed publicly.
https://openai.com/blog/infrastructure-for-deep-learning/
This is extremely rare case, because usually this information is not available and discussed publicly.
https://openai.com/blog/infrastructure-for-deep-learning/
Openai
Infrastructure for deep learning
Deep learning is an empirical science, and the quality of a groupβs infrastructure is a multiplier on progress. Fortunately, todayβs open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
http://www.news.cornell.edu/stories/2016/08/where-can-i-buy-chair-app-will-tell-you
Cornell University managed to release an app able to find common furniture online.
So if you see a sofa you like, you can just search for it online, to order the same in an instant.
Retailers' dream.
Cornell University managed to release an app able to find common furniture online.
So if you see a sofa you like, you can just search for it online, to order the same in an instant.
Retailers' dream.
Cornell Chronicle
Where can I buy a chair like that? β This app will tell you | Cornell Chronicle
If you think you have a knack for interior design, or just want to spruce up your own home, a new app developed by Cornell researchers may help you choose furnishings the way professionals do.
Apache Spark @Scale: A 60 TB+ production use case from Facebook.
https://databricks.com/blog/2016/08/31/apache-spark-scale-a-60-tb-production-use-case.html
This is next to HUGE.
https://databricks.com/blog/2016/08/31/apache-spark-scale-a-60-tb-production-use-case.html
This is next to HUGE.
Databricks
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Repo with PDF copy of http://www.deeplearningbook.org by Ian Goodfellow and Yoshua Bengio and Aaron Courville
https://github.com/HFTrader/DeepLearningBook
https://github.com/HFTrader/DeepLearningBook
"Stacked Approximated Regression Machine: A Simple Deep Learning Approach"
https://arxiv.org/abs/1608.04062
Great article, you should definately check up
https://arxiv.org/abs/1608.04062
Great article, you should definately check up
Flexible Image Tagging with Fast0Tag
https://gab41.lab41.org/flexible-image-tagging-with-fast0tag-681c6283c9b7#.bp7v0qdn7
https://gab41.lab41.org/flexible-image-tagging-with-fast0tag-681c6283c9b7#.bp7v0qdn7
Gab41
Flexible Image Tagging with Fast0Tag
One of the goals of multimodal embedding is to make it easier to expand machine learning models into new contexts. Deep architectures areβ¦
And deep minds breakthrough in audio generation. It is able to generate human-like speech.
https://deepmind.com/blog/wavenet-generative-model-raw-audio/
https://deepmind.com/blog/wavenet-generative-model-raw-audio/
Google DeepMind
WaveNet: A generative model for raw audio
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the...
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How to write your first spam-filter yourself
https://blog.cambridgecoding.com/2016/01/25/implementing-your-own-spam-filter/
https://blog.cambridgecoding.com/2016/01/25/implementing-your-own-spam-filter/
Two papers about using video games to train computer vision models.
And who says that video games are useless? π
https://arxiv.org/abs/1608.01745
https://arxiv.org/pdf/1608.01745v2.pdf
And who says that video games are useless? π
https://arxiv.org/abs/1608.01745
https://arxiv.org/pdf/1608.01745v2.pdf