Experimental design for MRI by greedy policy search

Github: https://github.com/Timsey/pg_mri

Paper: https://arxiv.org/abs/2010.16262v1

@Machine_learn

Deep Multimodal Fusion by Channel Exchanging

Github: https://github.com/yikaiw/CEN

Dataset: https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html

Paper: https://arxiv.org/abs/2011.05005

@Machine_learn

Introduction to Deep Learning Using R
A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
#book #DL
@Machine_learn

Edge AI
Convergence of Edge Computing and Artificial Intelligence
#book #AI
@Machine_learn

Using GANs to Create Fantastical Creatures


http://ai.googleblog.com/2020/11/using-gans-to-create-fantastical.html

@Machine_learn

Learning Efficient GANs using Differentiable Masks and Co-Attention Distillation

Github: https://github.com/SJLeo/DMAD

Paper: https://arxiv.org/abs/2011.08382

@Machine_learn

​​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
@Machine_learn

https://arxiv.org/pdf/2011.09055.pdf
#GAN
#Paper
@Machine_learn

CraCking Codes with Python

#book #python
@Machine_learn

​​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

This channel has launced to introduce books and educational videos in the field of artificial intelligence.

Fully Convolutional Networks for Panoptic Segmentation.

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

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

Weight Agnostic Neural Networks

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

@Machine_learn

AN INTRODUCTION TO ALGORITHMIC TRADING
Basic to Advanced Strategies
#book
@Machine_learn

Lipton, A., & de Prado, M. L. (2020). A closed-form solution for optimal mean-reverting trading strategies.
#paper

@Machine_learn