Machine learning books and papers
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Machine learning books and papers
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Machine learning books and papers
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1906.06423.pdf
897.7 KB
@Machine_learn #code #paper
FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture.

Github: https://github.com/facebookresearch/FixRes

Article:https://arxiv.org/abs/1906.06423
3.84K viewsRamin Mousa, 
Machine learning books and papers
@Machine_learn
#code #paper
Y-Autoencoders: disentangling latent representations via sequential-encoding

Article: https://arxiv.org/abs/1907.10949

GitHub: https://github.com/mpatacchiola/Y-AE
arXiv.org
Y-Autoencoders: disentangling latent representations via...
In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)....
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Machine learning books and papers
@Machine_learn
#CapsuleNet #code
Stacked Capsule Autoencoders

http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.htm
4.83K viewsRamin Mousa, 
Machine learning books and papers
@Machine_leaen
ai ,machine learning
#code #datasets #paper
• 1146 leaderboards
• 1223 tasks
• 1105 datasets
• 14779 papers with code


https://paperswithcode.com/sota
GitHub
Papers with code
Papers with code has 13 repositories available. Follow their code on GitHub.
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Machine learning books and papers
GITHUB~1.PDF
3.4 MB
A collection of anomaly detection methods #Code #Python #Anomaly_detection @Machine_learn
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Machine learning books and papers
Generative Adversarial Networks with Python.zip
9.5 MB
Generative Adversarial Networks with python by Jason Brownlee #book and #code @Machine_learn
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Machine learning books and papers
1.pdf
3.5 MB
ML Algorithms Cheatsheet (python and R)
#code #python #R
@Machine_learn
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Machine learning books and papers
pymbook.pdf
1.1 MB
Book: Python for you and me
Release 0.5.beta1
Authors: Kushal Das
ISBN: Null
year: 2023
pages: 175
Tags: #Python #Code
@Machine_learn
❤5
4.69K viewsRamin Mousa, edited  
Machine learning books and papers
Deep-Learning-for-Natural-Language-Processing.pdf
7.3 MB
Book: Deep Learning for Natural Language Processing (Creating Neural Networks with Python)
Authors: Palash Goyal, Sumit Pandey, Karan Jain
ISBN: 978-1-4842-3685-7
year: 2018
pages: 290
Tags: #NLP #DL #Python #Code
@Machine_learn
👍6🔥2
5.32K viewsRamin Mousa, edited  
Machine learning books and papers
01. Time Series Visualization from Raw Data to Insights.pdf
11.7 MB
Time Series Visualization from Raw Data to Insights
🔹 #Code

@Machine_learn
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