حدود یک ماه و نیم پیش، مجموعه openai یه چیز جدیدی به dalle2 (همون اولین مدل خفن تبدیل متن به عکس) اضافه کرد به اسم Outpainting که این امکان رو میداد که یه عکس به عنوان شروع بدی و اطرافش رو بکشی و پر کنی. این پستشه:
https://openai.com/blog/dall-e-introducing-outpainting/
مدل dalle2 یک مدل تجاری بود اما یکی از مدلهای اپن سورس (که همه به کدش و خودش دسترسی دارند) که کمی بعدتر ارائه شد stablediffusion بود. این مدل هم اخیرا نسخهای مشابه outpainting داد به اسم infinity که کدش رو اینجا میشه دید:
https://github.com/lkwq007/stablediffusion-infinity
اما چیز جالب این دمو عه:
https://huggingface.co/spaces/lnyan/stablediffusion-infinity
توی این دمو میتونید عکستون رو آپلود کنید؛ بعد یه متن بنویسید و بخشهای مختلفش رو گسترش بدید و بکشید.
https://openai.com/blog/dall-e-introducing-outpainting/
مدل dalle2 یک مدل تجاری بود اما یکی از مدلهای اپن سورس (که همه به کدش و خودش دسترسی دارند) که کمی بعدتر ارائه شد stablediffusion بود. این مدل هم اخیرا نسخهای مشابه outpainting داد به اسم infinity که کدش رو اینجا میشه دید:
https://github.com/lkwq007/stablediffusion-infinity
اما چیز جالب این دمو عه:
https://huggingface.co/spaces/lnyan/stablediffusion-infinity
توی این دمو میتونید عکستون رو آپلود کنید؛ بعد یه متن بنویسید و بخشهای مختلفش رو گسترش بدید و بکشید.
شبکه داستانی عصبی
حدود یک ماه و نیم پیش، مجموعه openai یه چیز جدیدی به dalle2 (همون اولین مدل خفن تبدیل متن به عکس) اضافه کرد به اسم Outpainting که این امکان رو میداد که یه عکس به عنوان شروع بدی و اطرافش رو بکشی و پر کنی. این پستشه: https://openai.com/blog/dall-e-introducing…
این دو تا رو الان سعی کردم بکشم با مضامین این روزها. البته که خیلی کار و حوصلهی بیشتری میخواد که چیزهای بهتری بشه ازش به دست آورد. این همون جاییه که «مهندسی متن ورودی» یا Prompt engineering مطرح میشه؛ به این معنا که ما متن ورودی رو دقیقا چی بدیم که بشه نتایج خوبی گرفت.
👍2
Today in Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes:
https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor
Discovering faster matrix multiplication algorithms with reinforcement learning
https://www.nature.com/articles/s41586-022-05172-4
https://twitter.com/DeepMind/status/1577677899108421633
https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor
Discovering faster matrix multiplication algorithms with reinforcement learning
https://www.nature.com/articles/s41586-022-05172-4
https://twitter.com/DeepMind/status/1577677899108421633
Google DeepMind
Discovering novel algorithms with AlphaTensor
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental task…
Forwarded from DLeX: AI Python (Farzad 🦅)
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– www.euraxess.ec.europa.eu
– mastersportal.eu
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#کاری #دکترا
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https://in.indeed.com/m/
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سایت #پست داک
https://postdocjobs.com/
#کانادا
https://www.universitystudy.ca/
https://cfm.ehu.es/about-cfm/job-offers/
https://www.educanada.ca/
جهت اپلای کردن
– www.jobbdirekte.no
– www.phdproject.org
– www.jobs.tue.nl
– www.academicpositions.eu
– www.phds.org
– www.universitypositions.eu
– www.phdposition.com
– www.academiccareers.com
– www.indeed.com
– www.infoscholarship.net
– www.euraxess.ec.europa.eu
– mastersportal.eu
– european-funding-guide.eu
– findamasters.com
#پوزیشن یاب
https://scholarshipdb.net/scholarships?q=Geography&l=
https://www.phdportal.com/studies/62951/climate-variability-and-impacts.html
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#کاری #دکترا
https://www.academictransfer.com/en/
https://in.indeed.com/m/
https://www-m.academickeys.com/
https://academicpositions.com/
https://www.phdproject.org/
سایت #پست داک
https://postdocjobs.com/
#کانادا
https://www.universitystudy.ca/
https://cfm.ehu.es/about-cfm/job-offers/
https://www.educanada.ca/
جهت اپلای کردن
👍2
شبکه داستانی عصبی
Today in Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://www.deepmind.com/blog/discovering…
این خییییییلی اتفاق و کار خفنیه
Forwarded from Tensorflow(@CVision) (Vahid)
اخیرا گوگل اومده از شیوه آموزش مدلهای زبانی (Language Models) برای تولید audio استفاده کرده.
این مدل audioLM در هر دو بخش تولید speech و music به طور عجیبی خوب عمل میکنه و سمپلهای تولید شده خیلی با کیفیت و با معنی به نظر میرسند!
میتونید عملکرد این مدل رو توی این کلیپ ببینید:
https://youtube.com/watch?v=_xkZwJ0H9IU&feature=share
اطلاعات بیشتر در مورد مدل رو هم میتونید اینجا پیدا کنید:
https://ai.googleblog.com/2022/10/audiolm-language-modeling-approach-to.html?m=1
این مدل audioLM در هر دو بخش تولید speech و music به طور عجیبی خوب عمل میکنه و سمپلهای تولید شده خیلی با کیفیت و با معنی به نظر میرسند!
میتونید عملکرد این مدل رو توی این کلیپ ببینید:
https://youtube.com/watch?v=_xkZwJ0H9IU&feature=share
اطلاعات بیشتر در مورد مدل رو هم میتونید اینجا پیدا کنید:
https://ai.googleblog.com/2022/10/audiolm-language-modeling-approach-to.html?m=1
این قسمت جدید پادکست مهندسی اسپاتیفای دیروز اومده و راجع به یه پروژه خیلی خفن جدیدشونه:
What if you could create a guitar solo just by humming it? That’s Basic Pitch, a new open source project from Spotify’s Audio Intelligence Lab. Basic Pitch is a neural network that can analyze the recording of almost any instrument (including your voice) and then transcribe the notes that it detects into MIDI, the standard file format used for musical notation. It’s like speech-to-text, except it’s turning musical performances — whatever you hum, strum, pluck, peck, or tinkle — into a digital score you can edit on your computer.
Hear host Dave Zolotusky talk with Spotify researcher Rachel Bittner about what makes detecting musical notes an interesting machine learning problem. You’ll learn about how musicians use audio-to-MIDI converters to make music, the subtleties of pitch tracking, and why you want your model to capture the main pitch events in the audio as well as all the “wiggly stuff”. Plus, a live demo of the model in action and all the “Hot Cross Buns” you can handle.
https://open.spotify.com/episode/4wDDgWn037xjuq4Hr0u6a3?si=6eGcFmocRImv_frDLUBovw&utm_source=copy-link
What if you could create a guitar solo just by humming it? That’s Basic Pitch, a new open source project from Spotify’s Audio Intelligence Lab. Basic Pitch is a neural network that can analyze the recording of almost any instrument (including your voice) and then transcribe the notes that it detects into MIDI, the standard file format used for musical notation. It’s like speech-to-text, except it’s turning musical performances — whatever you hum, strum, pluck, peck, or tinkle — into a digital score you can edit on your computer.
Hear host Dave Zolotusky talk with Spotify researcher Rachel Bittner about what makes detecting musical notes an interesting machine learning problem. You’ll learn about how musicians use audio-to-MIDI converters to make music, the subtleties of pitch tracking, and why you want your model to capture the main pitch events in the audio as well as all the “wiggly stuff”. Plus, a live demo of the model in action and all the “Hot Cross Buns” you can handle.
https://open.spotify.com/episode/4wDDgWn037xjuq4Hr0u6a3?si=6eGcFmocRImv_frDLUBovw&utm_source=copy-link