Advancing Semi-supervised Learning with Unsupervised Data Augmentation
http://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html
http://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html
research.google
Advancing Semi-supervised Learning with Unsupervised Data Augmentation
Posted by Qizhe Xie, Student Researcher and Thang Luong, Senior Research Scientist, Google Research, Brain Team Success in deep learning has larg...
TRFL a library of reinforcement learning building blocks By the Research Engineering team at DeepMind:
https://github.com/deepmind/trfl
https://github.com/deepmind/trfl
GitHub
GitHub - google-deepmind/trfl: TensorFlow Reinforcement Learning
TensorFlow Reinforcement Learning. Contribute to google-deepmind/trfl development by creating an account on GitHub.
Multilingual Universal Sentence Encoder for Semantic Retrieval
http://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html
http://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html
research.google
Multilingual Universal Sentence Encoder for Semantic Retrieval
Posted by Yinfei Yang and Amin Ahmad, Software Engineers, Google Research Since it was introduced last year, “Universal Sentence Encoder (USE) for...
How to Code the GAN Training Algorithm and Loss Functions
https://machinelearningmastery.com/how-to-code-the-generative-adversarial-network-training-algorithm-and-loss-functions/
https://machinelearningmastery.com/how-to-code-the-generative-adversarial-network-training-algorithm-and-loss-functions/
An implementation of the BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer (Interspeech 2019)
Article: https://arxiv.org/pdf/1907.03040.pdf
Github: https://github.com/guanlinchao/bert-dst
Article: https://arxiv.org/pdf/1907.03040.pdf
Github: https://github.com/guanlinchao/bert-dst
GitHub
GitHub - guanlinchao/bert-dst: BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations…
BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer - guanlinchao/bert-dst
Learning to learn with quantum neural networks via classical neural networks
https://arxiv.org/abs/1907.05415
https://arxiv.org/abs/1907.05415
arXiv.org
Learning to learn with quantum neural networks via classical...
Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges. One such...
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