Advanced machine learning helps Play Store users discover personalised apps
http://bit.ly/2rGluJF
Announcing the 2020 Uber AI Residency
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RoboNet: A Dataset for Large-Scale Multi-Robot Learning
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Announcing the 2020 Uber AI Residency
https://ubr.to/35CoVzY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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Deepmind
Advanced Machine Learning Helps Play Store Users Discover Personalised Apps
In collaboration with Google Play, our team that leads on collaborations with Google has driven significant improvements in the Play Store's discovery systems, helping to deliver a more personalised and intuitive Play Store experience for users.
Mining of Massive Datasets
The book is designed at the undergraduate computer science level with no formal prerequisites
http://bit.ly/35RBRlv
The book is designed at the undergraduate computer science level with no formal prerequisites
http://bit.ly/35RBRlv
Free AI Resources
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The 17 Best Free Tools for Data Science
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The 17 Best Free Tools for Data Science
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MarkTechPost
Free AI/ Data Science Resources
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
Baidu’s Pre-training Model ERNIE Achieves New NLP Benchmark Record
http://bit.ly/2qRfxtA
Lessons Learned from Developing ML for Healthcare
http://bit.ly/2siwGN3
Deepfake Detection Challenge launches with new data set and Kaggle site
http://bit.ly/2EdOlZa
FastSpeech: New text-to-speech model improves on speed, accuracy, and controllability
http://bit.ly/35hkGKv
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
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Lessons Learned from Developing ML for Healthcare
http://bit.ly/2siwGN3
Deepfake Detection Challenge launches with new data set and Kaggle site
http://bit.ly/2EdOlZa
FastSpeech: New text-to-speech model improves on speed, accuracy, and controllability
http://bit.ly/35hkGKv
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
http://bit.ly/2LQMr4L
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Using WaveNet technology to reunite speech-impaired users with their original voices
http://bit.ly/36SLL7c
Hugging Face raises $15 million to build open source community for cutting-edge conversational AI
http://bit.ly/2PXuXow
Nvidia debuts Drive AGX Orin and open-sources autonomous car AI models
http://bit.ly/38QLOC4
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Hugging Face raises $15 million to build open source community for cutting-edge conversational AI
http://bit.ly/2PXuXow
Nvidia debuts Drive AGX Orin and open-sources autonomous car AI models
http://bit.ly/38QLOC4
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Deepmind
Using WaveNet technology to reunite speech-impaired users with their original voices
We demonstrate an early proof of concept of how text-to-speech technologies can synthesise a high-quality, natural sounding voice using minimal recorded speech data.
ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
http://bit.ly/2SOUCmC
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
http://bit.ly/2LQMr4L
eBay’s Transformation to a Modern AI Platform
http://bit.ly/2sH7IYg
Beyond L2 Loss — How we experiment with loss functions at Lyft
https://lft.to/2rTywEm
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http://bit.ly/2SOUCmC
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
http://bit.ly/2LQMr4L
eBay’s Transformation to a Modern AI Platform
http://bit.ly/2sH7IYg
Beyond L2 Loss — How we experiment with loss functions at Lyft
https://lft.to/2rTywEm
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Google AI Blog
ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
Posted by Radu Soricut and Zhenzhong Lan, Research Scientists, Google Research Ever since the advent of BERT a year ago, natural languag...
Best Data Visualization Projects of 2019
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5 Weird and Hilarious Uses of Data Science
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5 Weird and Hilarious Uses of Data Science
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FlowingData
Best Data Visualization Projects of 2019
As I do every year, I picked my ten favorite visualization projects. Here they are in no particular order.
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
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Uber Engineering Blog
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, R. LiuLarge transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities. However, controlling attributes of the generated…
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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https://stanford.io/2OSu1RX
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ai.stanford.edu
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
Towards a Conversational Agent that Can Chat About… Anything
http://bit.ly/2OfIKGS
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Google AI Blog
Towards a Conversational Agent that Can Chat About…Anything
Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern co...
Introducing PyTorch3D: An open-source library for 3D deep learning
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Facebook
Introducing PyTorch3D: An open-source library for 3D deep learning
We just released PyTorch3D, a new toolkit for researchers and engineers that’s fast and modular for 3D deep learning research.
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
https://ubr.to/37M4q5a
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https://ubr.to/37M4q5a
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Uber Engineering Blog
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, R. LiuLarge transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities. However, controlling attributes of the generated…
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations?
https://stanford.io/2RKUBOY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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https://stanford.io/2RKUBOY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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SAIL Blog
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations?
Geometric properties of contextualized word representations and what that says about how contextualized they are.