Machine learning books and papers
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Machine learning books and papers
24.8K subscribers
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
5.6K 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
5.71K viewsedited  
Machine learning books and papers
Using AutoML for Time Series Forecasting


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

@Machine_learn
Google Research
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...
4.11K 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
4.23K 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.
3.92K views
Machine learning books and papers
Using AutoML for Time Series Forecasting


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

@Machine_learn
Google Research
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...
4.27K 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
4.69K views
Machine learning books and papers
pixelNeRF: Neural Radiance Fields from One or Few Images.

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

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

@Machine_learn
4.34K 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
4.62K views
Machine learning books and papers
Weight Agnostic Neural Networks

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

@Machine_learn
4.57K viewsedited  
Machine learning books and papers
4_5868401334796944721.pdf
1 MB
AN INTRODUCTION TO ALGORITHMIC TRADING
Basic to Advanced Strategies
#book
@Machine_learn
5.11K 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
5.66K 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…
5.05K 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
5.52K 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
4.51K viewsedited  
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
4.9K viewsedited  
Machine learning books and papers
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reinforcement learning
😅 #Rl
@Machine_learn
6.13K viewsedited  
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
4.76K 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
4.74K views
Machine learning books and papers
Feature Selection with Stochastic Optimization Algorithms

https://machinelearningmastery.com/feature-selection-with-optimization/

@Machine_learning
4.96K views