Simple keras model inference optimizer https://github.com/ZFTurbo/Keras-inference-time-optimizer
GitHub
GitHub - ZFTurbo/Keras-inference-time-optimizer: Optimize layers structure of Keras model to reduce computation time
Optimize layers structure of Keras model to reduce computation time - GitHub - ZFTurbo/Keras-inference-time-optimizer: Optimize layers structure of Keras model to reduce computation time
Wrote some simple example of face detection and classification from 2 epochs of CV
https://github.com/creotiv/object_detection_projects/tree/master/face_detection_with_opencv_and_pyqt
https://github.com/creotiv/object_detection_projects/tree/master/face_detection_with_opencv_and_pyqt
GitHub
creotiv/object_detection_projects
My public projects about object detection algorithms - creotiv/object_detection_projects
Can character-level language models understand complex things?
https://www.lighttag.io/blog/character-level-NLP
https://www.lighttag.io/blog/character-level-NLP
www.lighttag.io
Character Level NLP
Character level models for NLP facilitate large vocabularies and remove computational bottlenecks during model training. This post reviews those traits and discusses the drawbacks of character level models for NLP.
Very good article to understand how improvements are made on hard CV tasks.
https://medium.com/mlreview/getting-inception-architectures-to-work-with-style-transfer-767d53475bf8
https://medium.com/mlreview/getting-inception-architectures-to-work-with-style-transfer-767d53475bf8
Medium
Getting Inception Architectures to Work with Style Transfer
Style transfer typically requires neural networks with a well-developed hierarchy of features for calculating the loss. Thus for this…
Two powerful papers from DeepMind team
https://arxiv.org/abs/1901.11390
https://arxiv.org/abs/1903.00450
https://arxiv.org/abs/1901.11390
https://arxiv.org/abs/1903.00450
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...
This media is not supported in your browser
VIEW IN TELEGRAM
Unsupervised entities & background segmentation
Awesome research from Google RL team. Learning dynamics from video
https://planetrl.github.io
https://planetrl.github.io
PlaNet solves control tasks from pixels by planning in latent space.
Learning Latent Dynamics for Planning from Pixels
(Russian speaking)
Отличное обьяснение разных фишек с математики просто и доступно, без х****)
https://www.youtube.com/channel/UCi3lxprPEKGjpmzzN90sceA
Отличное обьяснение разных фишек с математики просто и доступно, без х****)
https://www.youtube.com/channel/UCi3lxprPEKGjpmzzN90sceA
YouTube
Sergej Kuts
Share your videos with friends, family, and the world
Hey guys, i've made small survey to better understand your needs. It will take just few minutes (10 questions). Thanks a lot :)
https://bit.ly/2YAwwwe
https://bit.ly/2YAwwwe
Google Docs
Small user survey
Just want to better understand my subscribers)
Automatic Mixed Precision for PyTorch. It will make your life much better in just 2 lines of code)
https://github.com/NVIDIA/apex
https://github.com/NVIDIA/apex
GitHub
GitHub - NVIDIA/apex: A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch - NVIDIA/apex
Very interesting point of view from one of the Top RL researchers
https://youtu.be/wEgq6sT1uq8
https://youtu.be/wEgq6sT1uq8
YouTube
A Bitter AI Lesson - Compute Reigns Supreme!
📝 The article "The Bitter Lesson" is available here:
https://www.incompleteideas.net/IncIdeas/BitterLesson.html
Nice twitter thread on this video: https://twitter.com/karoly_zsolnai/status/1114867598724931585
❤️ Pick up cool perks on our Patreon page: h…
https://www.incompleteideas.net/IncIdeas/BitterLesson.html
Nice twitter thread on this video: https://twitter.com/karoly_zsolnai/status/1114867598724931585
❤️ Pick up cool perks on our Patreon page: h…
Machine Learning World pinned «Hey guys, i've made small survey to better understand your needs. It will take just few minutes (10 questions). Thanks a lot :) https://bit.ly/2YAwwwe»
From the pinned survey i found many interesting ideas about improving content of this channel. Also there was many questions about courses and starting point for learners.
So while im rethinking all stuff, here is collection of courses that i passed. https://medium.com/machine-learning-world/learning-path-for-machine-learning-engineer-a7d5dc9de4a4
So while im rethinking all stuff, here is collection of courses that i passed. https://medium.com/machine-learning-world/learning-path-for-machine-learning-engineer-a7d5dc9de4a4
Medium
How To Become A Machine Learning Engineer: Learning Path
We will walk you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will…
Disney trying to automate making an animation
https://arxiv.org/pdf/1904.05440.pdf
https://arxiv.org/pdf/1904.05440.pdf
#junior #middle #ds #regression
Explanation on some good technics in DS with code based on House Price Competition https://www.kaggle.com/agehsbarg/top-10-0-10943-stacking-mice-and-brutal-force
Explanation on some good technics in DS with code based on House Price Competition https://www.kaggle.com/agehsbarg/top-10-0-10943-stacking-mice-and-brutal-force
Kaggle
Top 10 (0.10943): stacking, MICE and brutal force
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources
#junior #ds #forecasting #tutorial https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
Medium
An End-to-End Project on Time Series Analysis and Forecasting with Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
When you use ImageNet Dataset, but something went wrong)))
Graph Embedding with PyTorch from Facebook
https://github.com/facebookresearch/PyTorch-BigGraph
https://github.com/facebookresearch/PyTorch-BigGraph
GitHub
GitHub - facebookresearch/PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.
Generate embeddings from large-scale graph-structured data. - facebookresearch/PyTorch-BigGraph