Simple Deep Q Network w/Pytorch: https://youtu.be/UlJzzLYgYoE
Reinforcement Learning Crash Course: https://youtu.be/sOiNMW8k4T0
Policy Gradients w/Tensorflow: https://youtu.be/UT9pQjVhcaU
Deep Q Learning w/Tensorflow https://youtu.be/3Ggq_zoRGP4
Code Your Own RL Environments https://youtu.be/vmrqpHldAQ0
How to Spec a Deep Learning PC: https://youtu.be/xsnVlMWQj8o
Deep Q Learning w/ Pytorch: https://youtu.be/RfNxXlO6BiA
Machine Learning Freelancing https://youtu.be/6M04ZTLE_O4
Code from video: https://github.com/philtabor/Youtube-Code-Repository
Reinforcement Learning Crash Course: https://youtu.be/sOiNMW8k4T0
Policy Gradients w/Tensorflow: https://youtu.be/UT9pQjVhcaU
Deep Q Learning w/Tensorflow https://youtu.be/3Ggq_zoRGP4
Code Your Own RL Environments https://youtu.be/vmrqpHldAQ0
How to Spec a Deep Learning PC: https://youtu.be/xsnVlMWQj8o
Deep Q Learning w/ Pytorch: https://youtu.be/RfNxXlO6BiA
Machine Learning Freelancing https://youtu.be/6M04ZTLE_O4
Code from video: https://github.com/philtabor/Youtube-Code-Repository
How to Implement Wasserstein Loss for Generative Adversarial Networks
https://machinelearningmastery.com/how-to-implement-wasserstein-loss-for-generative-adversarial-networks/
https://machinelearningmastery.com/how-to-implement-wasserstein-loss-for-generative-adversarial-networks/
New fast.ai course: A Code-First Introduction to Natural Language Processing
https://www.fast.ai/2019/07/08/fastai-nlp/
Github: https://github.com/fastai/course-nlp
Videos: https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9
https://www.fast.ai/2019/07/08/fastai-nlp/
Github: https://github.com/fastai/course-nlp
Videos: https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9
A General Decoupled Learning Framework for Parameterized Image Operators
https://arxiv.org/abs/1907.05852
https://arxiv.org/abs/1907.05852
arXiv.org
A General Decoupled Learning Framework for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate or
improve traditional image operators. Among these traditional operators, many
contain parameters which need to be tweaked...
improve traditional image operators. Among these traditional operators, many
contain parameters which need to be tweaked...
Forwarded from Artificial Intelligence
Learning Latent Dynamics for Planning from Pixels
Hafner et al.: https://planetrl.github.io/
Hafner et al.: https://planetrl.github.io/
PlaNet solves control tasks from pixels by planning in latent space.
Learning Latent Dynamics for Planning from Pixels
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
PyTorch
PyTorch Adds New Ecosystem Projects for Encrypted AI and Quantum Computing, Expands PyTorch Hub
The PyTorch ecosystem includes projects, tools, models and libraries from a broad community of researchers in academia and industry, application developers, and ML engineers. The goal of this ecosystem is to support, accelerate, and aid in your exploration…
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
Googleblog
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
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
YouTube
A Deep Dive into NLP with PyTorch
In this tutorial, we will give you some deeper insights into recent developments in the field of Deep Learning NLP. The first part of the workshop will be an introduction into the dynamic deep learning library PyTorch. We will explain the key steps for building…
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/
PyTorch
Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm
With roads in developed countries like the US changing up to 15% annually, Mapillary addresses a growing demand for keeping maps updated by combining images from any camera into a 3D visualization of the world. Mapillary’s independent and collaborative approach…
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…