Learning Representations by Maximizing Mutual Information Across Views
Article: https://arxiv.org/abs/1906.00910
Article: https://arxiv.org/abs/1906.00910
arXiv.org
Learning Representations by Maximizing Mutual Information Across Views
We propose an approach to self-supervised representation learning based on maximizing mutual information between features extracted from multiple views of a shared context. For example, one could...
How to Develop a Wasserstein Generative Adversarial Network (WGAN) From Scratch
https://machinelearningmastery.com/how-to-code-a-wasserstein-generative-adversarial-network-wgan-from-scratch/
https://machinelearningmastery.com/how-to-code-a-wasserstein-generative-adversarial-network-wgan-from-scratch/
Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments
http://ai.googleblog.com/2019/07/parrotron-new-research-into-improving.html
http://ai.googleblog.com/2019/07/parrotron-new-research-into-improving.html
Googleblog
Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments
StanfordNLP 0.2.0 - Python NLP Library for Many Human Languages
https://stanfordnlp.github.io/stanfordnlp/
https://stanfordnlp.github.io/stanfordnlp/
stanfordnlp.github.io
High-performance human language analysis tools, now with native deep learning modules in Python, available in many human languages.
🔥PyTorch Adds New Ecosystem Projects for Encrypted AI and Quantum Computing, Expands PyTorch Hub
https://pytorch.org/blog/pytorch-ecosystem/
From private AI to quantum computing, we’ve seen the community continue to expand into new and interesting areas. The latest projects include:
Botorch: https://botorch.org/
Advertorch: https://github.com/BorealisAI/advertorch
PyTorch Geometric: https://github.com/rusty1s/pytorch_geometric
Skorch: https://github.com/skorch-dev/skorch
PySyft: https://github.com/OpenMined/PySyft
PennyLane: https://pennylane.ai/
Flair:https://github.com/zalandoresearch/flair
https://pytorch.org/blog/pytorch-ecosystem/
From private AI to quantum computing, we’ve seen the community continue to expand into new and interesting areas. The latest projects include:
Botorch: https://botorch.org/
Advertorch: https://github.com/BorealisAI/advertorch
PyTorch Geometric: https://github.com/rusty1s/pytorch_geometric
Skorch: https://github.com/skorch-dev/skorch
PySyft: https://github.com/OpenMined/PySyft
PennyLane: https://pennylane.ai/
Flair:https://github.com/zalandoresearch/flair
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
http://ai.googleblog.com/2019/07/building-smily-human-centric-similar.html
http://ai.googleblog.com/2019/07/building-smily-human-centric-similar.html
Google Research
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
Posted by Narayan Hegde, Software Engineer, Google Health and Carrie J. Cai, Research Scientist, Google Research Advances in machine learning (ML) ...
How to Develop an Information Maximizing GAN (InfoGAN) in Keras
https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/
https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/
Awesome production machine learning
This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.
https://github.com/EthicalML/awesome-production-machine-learning
This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.
https://github.com/EthicalML/awesome-production-machine-learning
GitHub
GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version…
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning - EthicalML/awesome-production-machine-learning
Stacked Capsule Autoencoders
http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html
http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html
akosiorek.github.io
Stacked Capsule Autoencoders
Objects play a central role in computer vision and, increasingly, machine learning research.With many applications depending on object detection in images an...
A Deep Dive into NLP with PyTorch
https://www.youtube.com/watch?v=4jROlXH9Nvc
https://www.youtube.com/watch?v=4jROlXH9Nvc
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations
https://arxiv.org/abs/1907.09425
https://arxiv.org/abs/1907.09425
arXiv.org
k-t NEXT: Dynamic MR Image Reconstruction Exploiting...
Dynamic magnetic resonance imaging (MRI) exhibits high correlations in
k-space and time. In order to accelerate the dynamic MR imaging and to exploit
k-t correlations from highly undersampled...
k-space and time. In order to accelerate the dynamic MR imaging and to exploit
k-t correlations from highly undersampled...
Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm
https://pytorch.org/blog/mapillary-research/
https://pytorch.org/blog/mapillary-research/
Forwarded from Python/ django
Plotly.py 4.0 is here: Offline Only, Express First, Displayable Anywhere
https://medium.com/@plotlygraphs/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee
https://medium.com/@plotlygraphs/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee
Medium
Plotly.py 4.0 is here: Offline Only, Express First, Displayable Anywhere
Plotly.py is the library that powers graphs and maps for Dash. Version 4.0 of Plotly.py (also known as the plotlymodule) is now available…
How to Implement a Semi-Supervised GAN (SGAN) From Scratch in Keras
https://machinelearningmastery.com/semi-supervised-generative-adversarial-network/
https://machinelearningmastery.com/semi-supervised-generative-adversarial-network/
MachineLearningMastery.com
How to Implement a Semi-Supervised GAN (SGAN) From Scratch in Keras - MachineLearningMastery.com
Semi-supervised learning is the challenging problem of training a classifier in a dataset that contains a small number of labeled examples and a much larger number of unlabeled examples. The Generative Adversarial Network, or GAN, is an architecture that…
TensorFlow Lite for Microcontrollers
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/micro
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/micro
New Open Source GPU-Accelerated Atari Emulator for Reinforcement Learning Now Available
https://news.developer.nvidia.com/new-open-source-gpu-accelerated-atari-emulator-for-reinforcement-learning-now-available/
https://news.developer.nvidia.com/new-open-source-gpu-accelerated-atari-emulator-for-reinforcement-learning-now-available/
Predicting planets from orbital perturbations using deep learning
https://medium.com/tensorflow/predicting-planets-from-orbital-perturbations-using-deep-learning-cb58fb9996c5
https://medium.com/tensorflow/predicting-planets-from-orbital-perturbations-using-deep-learning-cb58fb9996c5
Medium
Predicting planets from orbital perturbations using deep learning
A guest post by Kyle A. Pearson
How to Develop a Least Squares Generative Adversarial Network (LSGAN) in Keras
https://machinelearningmastery.com/least-squares-generative-adversarial-network/
https://machinelearningmastery.com/least-squares-generative-adversarial-network/
MachineLearningMastery.com
How to Develop a Least Squares Generative Adversarial Network (LSGAN) in Keras - MachineLearningMastery.com
The Least Squares Generative Adversarial Network, or LSGAN for short, is an extension to the GAN architecture that addresses the problem of vanishing gradients and loss saturation. It is motivated by the desire to provide a signal to the generator about fake…