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
@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
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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
👌
@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
👌
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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
@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
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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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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
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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
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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/
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https://machinelearningmastery.com/feature-selection-with-optimization/
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💉 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
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Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
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