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
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
Using AutoML for Time Series Forecasting
http://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html
@Machine_learn
http://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...
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
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
Project Website: https://eulerian.cs.washington.edu
Forwarded from DelanaTech
This channel has launced to introduce books and educational videos in the field of artificial intelligence.
Using AutoML for Time Series Forecasting
http://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html
@Machine_learn
http://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...
Fully Convolutional Networks for Panoptic Segmentation.
Github: https://github.com/yanwei-li/PanopticFCN
Paper: https://arxiv.org/pdf/2012.00720.pdf
@Machine_learn
Github: https://github.com/yanwei-li/PanopticFCN
Paper: https://arxiv.org/pdf/2012.00720.pdf
@Machine_learn
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
Github: https://github.com/sxyu/pixel-nerf
Paper: http://arxiv.org/abs/2012.02190
@Machine_learn
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
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
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
#paper
@Machine_learn
🤩 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
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
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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
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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Visualisation of the attention patterns of Vision Transformer
link: https://epfml.github.io/attention-cnn/
@Machine_learn
link: https://epfml.github.io/attention-cnn/
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Rotated Binary Neural Network
Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
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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
Adversarial Examples in Deep Learning.
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
@Machine_learn
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
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Feature Selection with Stochastic Optimization Algorithms
https://machinelearningmastery.com/feature-selection-with-optimization/
@Machine_learning
https://machinelearningmastery.com/feature-selection-with-optimization/
@Machine_learning