OpenAI poster their learning package for RL with theoretical and practical stuff https://link.medium.com/Ky60fYmtMR
Towards Data Science
Mastering Deep Reinforcement Learning with OpenAI’s new ‘Spinning Up in Deep RL’ package
Reinforcement Learning is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep Reinforcement…
Removing noise from video
https://youtu.be/zL6ltnSKf9k
https://youtu.be/zL6ltnSKf9k
YouTube
This AI Learned To Isolate Speech Signals
The paper "Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation " is available here:
https://looking-to-listen.github.io/
Pick up cool perks on our Patreon page:
› https://www.patreon.com/TwoMinutePapers…
https://looking-to-listen.github.io/
Pick up cool perks on our Patreon page:
› https://www.patreon.com/TwoMinutePapers…
Trying to measure gan quality https://arxiv.org/pdf/1807.09499.pdf
Music generation https://arxiv.org/abs/1705.05458
One pf the best GAN architecture currenttly - BigGan
https://openreview.net/pdf?id=B1xsqj09Fm
and here you can try it
https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb#scrollTo=JJrTM6hAi0CJ
https://openreview.net/pdf?id=B1xsqj09Fm
and here you can try it
https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb#scrollTo=JJrTM6hAi0CJ
Google
Google Colab Notebook
Run, share, and edit Python notebooks
Hey guys, next Saturday(Nov 24) we will be on DataScience UA Conference in Kiev. In our program:
- Talking about our fuckups and pain in the life
- Drinking as much as possible(life still is pain)
- Watching cool talks from our friends
- BDSM party(dont forget your stop word)
With promocode NIKISHAEV you will get 15% discount.
Wait to see you there :)
https://data-science.com.ua/conferences/data-science-ua-conference-5th/
- Talking about our fuckups and pain in the life
- Drinking as much as possible(life still is pain)
- Watching cool talks from our friends
- BDSM party(dont forget your stop word)
With promocode NIKISHAEV you will get 15% discount.
Wait to see you there :)
https://data-science.com.ua/conferences/data-science-ua-conference-5th/
Data Science UA
Події з Data Science в Києві. Мероприятия по Big Data та machine learning в Україні — Data Science UA
Device Related Neural Network Architecture Search
https://arxiv.org/abs/1806.08198
https://arxiv.org/abs/1806.08198
One of the coolest books of Christopher Bishop is now free
https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/?OCID=msr_ebook_cbishop_fb
https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/?OCID=msr_ebook_cbishop_fb
Microsoft Research
Pattern Recognition and Machine Learning - Microsoft Research
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern…
Really cool work about GANs with
Interactive Demo, code and pretrained weights
https://gandissect.csail.mit.edu
Interactive Demo, code and pretrained weights
https://gandissect.csail.mit.edu
gandissect.csail.mit.edu
GAN Dissection
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Usefull Kaggle competition for every-day cases https://www.kaggle.com/c/ga-customer-revenue-prediction/rules
Kaggle
Google Analytics Customer Revenue Prediction
Predict how much GStore customers will spend
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
http://yuliang.vision/DF-Net/
http://yuliang.vision/DF-Net/
yuliang.vision
DF-Net
Old paper but very elegant solution
https://youtu.be/Ul0Gilv5wvY
Paper: https://www.google.com.ua/url?sa=t&source=web&rct=j&url=http://theorangeduck.com/media/uploads/other_stuff/phasefunction.pdf&ved=2ahUKEwiLlLbepv7eAhUIposKHUx9BcsQFjAAegQIAhAB&usg=AOvVaw2zwMuC59FHwdK3v9iPjKLt
https://youtu.be/Ul0Gilv5wvY
Paper: https://www.google.com.ua/url?sa=t&source=web&rct=j&url=http://theorangeduck.com/media/uploads/other_stuff/phasefunction.pdf&ved=2ahUKEwiLlLbepv7eAhUIposKHUx9BcsQFjAAegQIAhAB&usg=AOvVaw2zwMuC59FHwdK3v9iPjKLt
YouTube
Phase-Functioned Neural Networks for Character Control
We present a real-time character control mechanism using a novel neural network architecture called a Phase-Functioned Neural Network. In this network structure, the weights are computed via a cyclic function which uses the phase as an input. Along with the…
After Google released Bilateral NN for image enhancement (https://groups.csail.mit.edu/graphics/hdrnet/) they not stopped and created new cool Night Sight algorithm (https://www.theverge.com/2018/11/14/18092660/google-night-sight-review-pixel-2-3-camera-photos-image-quality)
Hope we will see paper for it soon))
Hope we will see paper for it soon))
Good explanation of basic clustering algorithms
https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68
https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68
Medium
The 5 Clustering Algorithms Data Scientists Need to Know
Clustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm to classify each data point into a specific group…
New thing that may replace RNN netwokrs
https://arxiv.org/abs/1808.03867
https://arxiv.org/abs/1808.03867
Pavel Pleskov & Pavel Ostiakov got first place on Google Doodles Classification Challenge. You can read about their ideas and tries here: https://www.kaggle.com/c/quickdraw-doodle-recognition/discussion/73738
Amazon make their ML Learning Course free https://aws.amazon.com/training/learning-paths/machine-learning/
Amazon
Machine Learning (ML) & Artificial Intelligence (AI) - AWS Digital and Classroom Training
Build your machine learning skills with digital training courses, classroom training, and certification for specialized machine learning roles. Learn more!