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Volunteer Spotlight: Alationauts Package More than 10,000 Meals to Support Rise Against Hunger

Alation

At Alation, we love to give back to our community. This is why we recently joined forces with the non-profit charity, Rise Against Hunger, to contribute in the fight against global hunger. First, some sobering statistics about why this work is so important: Global hunger affects 663 million people worldwide.

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Generating Images from Audio with Machine Learning

Heartbeat

Whisper and Hugging Face Models: A Deep Dive Whisper: The Automatic Speech Recognition System Our journey into audio-to-image transformation begins with Whisper , an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. You can learn more about the model here.

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Natural Language Processing with R

Heartbeat

You can read more about the creation of the R language here. You can read more about the packages available in the R project here. Read or watch our industry Q&A for advice from teams at Stanford, Google, and HuggingFace. NLP with R in action Now let’s dive into the main part of our learning. We asked them!

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Introducing spaCy v2.2

Explosion

While we’re grateful to the whole spaCy community for their patches and support, Explosion has been lucky to welcome two new team members who deserve special credit for the recent rapid improvements: Sofie Van Landeghem and Adriane Boyd have been working on spaCy full-time.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and expands capabilities community-wide.

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Emotion Classification with SpaCy v3 & Comet

Heartbeat

names Let’s define our labels in dictionary format as “tag name” and “tag id” to be used when defining in SpaCy data format. names Let’s define our labels in dictionary format as “tag name” and “tag id” to be used when defining in SpaCy data format. small_train_dataset = ds["train"].shuffle(seed=34).take(5000) shuffle(seed=34).take(5000)

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Containerization of Machine Learning Applications

Heartbeat

Containerization allows applications to be written once and run anywhere without concern about the machine or environment on which we run them. Here are some details about these packages: jupyterlab is for model building and data exploration. Install Required Packages Next, you install all the packages needed for this project.