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Product Hunt 😺
Remove Background from Image
Product Hunt 😺
1 min read · 881 saves · From 2018 · Remove Image Background: 100% automatically – in 5 seconds – without a single click – for free.
images.guide
Essential Image Optimization
images.guide
452 saves · From 2017 · We should all be automating our image compression.In 2017, image optimization should be automated. It's easy to forget, best practices change, and content that doesn't go through a build pipeline can…
medium.com
AVA: The Art and Science of Image Discovery at Netflix
medium.com
6 min read · 40 saves · From 2018 · by: Apurva Kansara, Boris Roussabrov, Lauren Machado, Madeline Riley, Parth Bhawalkar, Tim Branyen and Yuxin Jin
VentureBeat
Google achieves state-of-the-art NLP performance with an enormous language model and data set
VentureBeat
2 min read · 90 saves · 2019-10-24 · Kyle Wiggers · Google researchers trained an enormous machine learning model on an equally enormous data set to achieve state-of-the-art results on NLP benchmarks.
distill.pub
Differentiable Image Parameterizations
distill.pub
20+ min read · 40 saves · From 2018 · A powerful, under-explored tool for neural network visualizations and art.
addyosmani.com
Native image lazy-loading for the web!
addyosmani.com
4 min read · 239 saves · 2019-04-07 · In this post, we'll look at the new loading attribute which brings native and lazy-loading to the web!. For the curious, here&...
freeCodeCamp.org
How to use SVG as a Placeholder, and Other Image Loading Techniques
freeCodeCamp.org
8 min read · 613 saves · From 2017 · I’m passionate about image performance optimisation and making images load fast on the web. One of the most interesting areas of…
In Google
Google AI
PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization
Google AI
10 min read · 68 saves · 2020-06-09 · Posted by Peter J. Liu and Yao Zhao, Software Engineers, Google Research Students are often tasked with reading a document and producing...
OpenAI
Image GPT
OpenAI
~11 min read · 44 saves · 2020-06-17 · We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples
