Learning Efficient GANs using Differentiable Masks and Co-Attention Distillation
Github: https://github.com/SJLeo/DMAD
Paper: https://arxiv.org/abs/2011.08382
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Github: https://github.com/SJLeo/DMAD
Paper: https://arxiv.org/abs/2011.08382
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Free Course Advanced Computer Vision with TensorFlow
https://www.coursera.org/learn/advanced-computer-vision-with-tensorflow
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https://www.coursera.org/learn/advanced-computer-vision-with-tensorflow
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Coursera
Advanced Computer Vision with TensorFlow
Offered by DeepLearning.AI. In this course, you will: ... Enroll for free.
Tutorial on Generative Adversarial Networks (GANs) with Keras and TensorFlow
Nice tutorial with enough theory to understand what you are doing and code to get it done.
Link: https://www.pyimagesearch.com/2020/11/16/gans-with-keras-and-tensorflow/
#Keras #TensorFlow #tutorial #wheretostart #GAN
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Nice tutorial with enough theory to understand what you are doing and code to get it done.
Link: https://www.pyimagesearch.com/2020/11/16/gans-with-keras-and-tensorflow/
#Keras #TensorFlow #tutorial #wheretostart #GAN
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❤1
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
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https://levelup.gitconnected.com/text-extraction-from-a-table-image-using-pytesseract-and-opencv-3342870691ae
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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
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http://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html
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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
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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
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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
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http://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html
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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
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Github: https://github.com/yanwei-li/PanopticFCN
Paper: https://arxiv.org/pdf/2012.00720.pdf
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pixelNeRF: Neural Radiance Fields from One or Few Images.
Github: https://github.com/sxyu/pixel-nerf
Paper: http://arxiv.org/abs/2012.02190
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Github: https://github.com/sxyu/pixel-nerf
Paper: http://arxiv.org/abs/2012.02190
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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
👌
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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
👌
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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
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#paper
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🤩 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
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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
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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
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https://datascience-enthusiast.com/DL/Optimization_methods.html
Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks
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Visualisation of the attention patterns of Vision Transformer
link: https://epfml.github.io/attention-cnn/
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link: https://epfml.github.io/attention-cnn/
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