Machine learning books and papers
@Machine_learn
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Machine learning books and papers
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Machine learning books and papers
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https://arxiv.org/pdf/2011.09055.pdf
#GAN
#Paper
@Machine_learn
4.83K viewsedited  
Machine learning books and papers
Text Extraction from a Table Image, using PyTesseract and OpenCV

https://levelup.gitconnected.com/text-extraction-from-a-table-image-using-pytesseract-and-opencv-3342870691ae

@Machine_learn
Medium
Text Extraction from a Table Image, using PyTesseract and OpenCV
Turning Image of a Table into Python Object
5.58K views
Machine learning books and papers
Cracking_Codes_with_Python_An_Introduction_to_Building_and_Breaking.pdf
7.6 MB
CraCking Codes with Python

#book #python
@Machine_learn
5.67K viewsedited  
Machine learning books and papers
Using AutoML for Time Series Forecasting


https://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html

@Machine_learn
research.google
Using AutoML for Time Series Forecasting
Posted by Chen Liang and Yifeng Lu, Software Engineers, Google Research, Brain Team Time series forecasting is an important research area for machi...
4.09K views
Machine learning books and papers
​​Animating Pictures with Eulerian Motion Fields

New method for single image animation. Authors promised to release code soon!

Website: https://eulerian.cs.washington.edu
Paper: https://eulerian.cs.washington.edu/animating_pictures_2020.pdf
ArXiV: https://arxiv.org/abs/2011.15128
YouTube: https://www.youtube.com/watch?v=4zKliOMilGY

#DL #animation #WashingtonUni

@Machine_learn
YouTube
Animating Pictures with Eulerian Motion Fields
Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski

Project Website: https://eulerian.cs.washington.edu
4.22K views
Machine learning books and papers
Forwarded from DelanaTech
This channel has launced to introduce books and educational videos in the field of artificial intelligence.
3.9K views
Machine learning books and papers
Using AutoML for Time Series Forecasting


https://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html

@Machine_learn
research.google
Using AutoML for Time Series Forecasting
Posted by Chen Liang and Yifeng Lu, Software Engineers, Google Research, Brain Team Time series forecasting is an important research area for machi...
4.26K views
Machine learning books and papers
Fully Convolutional Networks for Panoptic Segmentation.

Github: https://github.com/yanwei-li/PanopticFCN

Paper: https://arxiv.org/pdf/2012.00720.pdf

@Machine_learn
4.67K views
Machine learning books and papers
pixelNeRF: Neural Radiance Fields from One or Few Images.

Github: https://github.com/sxyu/pixel-nerf

Paper: https://arxiv.org/abs/2012.02190

@Machine_learn
4.32K views
Machine learning books and papers
Implementation of Adam and AMSGrad Optimizers

Project: https://lab-ml.com/labml_nn/optimizers/adam.html

AMSGrad: https://lab-ml.com/labml_nn/optimizers/amsgrad.html

GitHub: https://github.com/lab-ml/nn

Full list: https://lab-ml.com/labml_nn/index.html
👌
@Machine_learn
4.59K views
Machine learning books and papers
Weight Agnostic Neural Networks

link: https://weightagnostic.github.io/

@Machine_learn
4.54K viewsedited  
Machine learning books and papers
4_5868401334796944721.pdf
1 MB
AN INTRODUCTION TO ALGORITHMIC TRADING
Basic to Advanced Strategies
#book
@Machine_learn
5.06K viewsedited  
Machine learning books and papers
quant_of_the_year_candidate.pdf
2.5 MB
Lipton, A., & de Prado, M. L. (2020). A closed-form solution for optimal mean-reverting trading strategies.
#paper

@Machine_learn
5.62K viewsedited  
Machine learning books and papers
MIT launched a New free Course on Machine learning : Click here
@Machine_learn
openlearninglibrary.mit.edu
Introduction to Machine Learning
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts…
5.02K views
Machine learning books and papers
🤩 7 Awesome Open Source Machine Learning Project Repos👍


1. DeOldify - https://github.com/jantic/DeOldify


2. Real-Time Voice Cloning - https://github.com/CorentinJ/Real-Time-Voice-Cloning

3. Face Recognition - https://github.com/ageitgey/face_recognition

4. NeuralTalk2 - https://github.com/karpathy/neuraltalk2


5. U-GAT-IT - https://github.com/taki0112/UGATIT


6. Srez - https://github.com/david-gpu/srez


7. TecoGAN - https://github.com/thunil/TecoGAN

@Machine_learn
GitHub
GitHub - jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!)
A Deep Learning based project for colorizing and restoring old images (and video!) - jantic/DeOldify
5.48K views
Machine learning books and papers
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🌐 Optimization Algorithms in Neural Networks

https://datascience-enthusiast.com/DL/Optimization_methods.html

Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks

@Machine_learn
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Machine learning books and papers
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Visualisation of the attention patterns of Vision Transformer

link: https://epfml.github.io/attention-cnn/

@Machine_learn
4.88K viewsedited  
Machine learning books and papers
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reinforcement learning
😅 #Rl
@Machine_learn
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Machine learning books and papers
Rotated Binary Neural Network

Github (Pytorch implementation): https://github.com/lmbxmu/RBNN

Paper: https://arxiv.org/abs/2009.13055

@Machine_learn
GitHub
GitHub - lmbxmu/RBNN: Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network - lmbxmu/RBNN
4.75K views
Machine learning books and papers
Adversarial Examples in Deep Learning.

https://blog.djsarkar.ai/adversarial-learning-attacks-1/

Github: https://github.com/dipanjanS/adversarial-learning-robustness

@Machine_learn
4.72K views