DLeX: AI Python
دانشگاه آلبرتا اپلیکیشن فی را رایگان کرد با تشکر از دکتر امیرمسعود فرهمند استاد دانشگاه تورنتو #اپلای
اطلاعیه دانشگاه آلبرتا درمورد رایگان کردن اپلیکیشن فی
https://www.ualberta.ca/graduate-studies/prospective-students/international-admissions-protocol/countries-waived-from-application-fee.html
#اپلای
✅ @AI_Python
https://www.ualberta.ca/graduate-studies/prospective-students/international-admissions-protocol/countries-waived-from-application-fee.html
#اپلای
✅ @AI_Python
چطور رزومه و کاور لتر حرفه ای بنویسید:
https://hwpi.harvard.edu/files/ocs/files/hes-resume-cover-letter-guide.pdf
#اپلای
✅ @AI_Python
https://hwpi.harvard.edu/files/ocs/files/hes-resume-cover-letter-guide.pdf
#اپلای
✅ @AI_Python
Position-guided Text Prompt for Vision-Language Pre-training
🖥 Github: https://github.com/sail-sg/ptp
⏩ Paper: https://arxiv.org/abs/2212.09737v1
➡️ Dataset:
https://paperswithcode.com/dataset/visual-genome
#مقاله
✅ @AI_Python
🖥 Github: https://github.com/sail-sg/ptp
⏩ Paper: https://arxiv.org/abs/2212.09737v1
➡️ Dataset:
https://paperswithcode.com/dataset/visual-genome
#مقاله
✅ @AI_Python
Optimizing Prompts for Text-to-Image Generation
🖥 Github: https://github.com/microsoft/lmops
➡️Paprer: https://arxiv.org/abs/2212.09611v1
✔️Dataset: https://paperswithcode.com/dataset/diffusiondb
💨 Transformers at Scale: https://github.com/microsoft/torchscale
#مقاله
✅ @AI_Python
🖥 Github: https://github.com/microsoft/lmops
➡️Paprer: https://arxiv.org/abs/2212.09611v1
✔️Dataset: https://paperswithcode.com/dataset/diffusiondb
💨 Transformers at Scale: https://github.com/microsoft/torchscale
#مقاله
✅ @AI_Python
Forwarded from Meysam
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کانولوشن چطوری کار میکنه؟
Forwarded from Meysam
میدونم همتون chatgpt رو دوست دارید ولی یه یادی هم بکنیم از فلامینگو و چندتا از خروجی هاش رو باهم مرور کنیم.
لینک:
https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
لینک:
https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
Forwarded from زانکو (Javad Amirian)
اگر سریال Game of Thrones به سبک ژاپنی ساخته میشد، به روایت هوش مصنوعی 😀
تولید شده توسط مدل Stable Diffusion
linkedin.com/posts/david-ha-168a012_scenes-from-game-of-thrones-as-a-japanese-activity-7009910366247796736-hBVz
@zankoo_ai
تولید شده توسط مدل Stable Diffusion
linkedin.com/posts/david-ha-168a012_scenes-from-game-of-thrones-as-a-japanese-activity-7009910366247796736-hBVz
@zankoo_ai
https://www.linkedin.com/posts/nazlisiasi_phdposition-gradschool-scholarship-activity-7011099996624228353-qIBi?utm_source=share&utm_medium=member_android
#اپلای
#اپلای
Linkedin
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Forwarded from Meysam
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یک مدل دیگه باز از طرف openai معرفی شد که می‌تونه متن رو به آبجکت سه بعدی تبدیل کنه.
به این صورت که به صورت متن بهش میگید چی میخواهید اونم براتون جنریت میکنه.
https://github.com/openai/point-e
به این صورت که به صورت متن بهش میگید چی میخواهید اونم براتون جنریت میکنه.
https://github.com/openai/point-e
Forwarded from Meysam
اسم من میثمه،
در این کانال فقط چیزهایی که به نظر خودم جالب هستند رو پست میکنم.
هوش مصنوعی یکی از موضوعاتی هست که در موردش می‌نویسم.
دوست داشتید دنبال کنید دوست نداشتید میوت نکنید لفت بدید.
مرسی.
@ai_person
در این کانال فقط چیزهایی که به نظر خودم جالب هستند رو پست میکنم.
هوش مصنوعی یکی از موضوعاتی هست که در موردش می‌نویسم.
دوست داشتید دنبال کنید دوست نداشتید میوت نکنید لفت بدید.
مرسی.
@ai_person
Generalized Decoding for Pixel, Image, and Language
🖥 Github: https://github.com/microsoft/X-Decoder
Hugging Face Demo: https://huggingface.co/spaces/xdecoder/Demo
⭐️ Project: https://x-decoder-vl.github.io/
⏩ Paprer: https://arxiv.org/pdf/2212.11270.pdf
✔️ Dataset: https://paperswithcode.com/dataset/visual-genome
#مقاله
✅ @AI_Python
🖥 Github: https://github.com/microsoft/X-Decoder
Hugging Face Demo: https://huggingface.co/spaces/xdecoder/Demo
⭐️ Project: https://x-decoder-vl.github.io/
⏩ Paprer: https://arxiv.org/pdf/2212.11270.pdf
✔️ Dataset: https://paperswithcode.com/dataset/visual-genome
#مقاله
✅ @AI_Python
GitHub
GitHub - microsoft/X-Decoder: [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language - microsoft/X-Decoder
🔥 Training neural networks 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝗮𝗰𝗸𝗽𝗿𝗼𝗽?
Geoffrey Hinton proposed a forward-forward (FF) algorithm at this year's NeurIPS.
The idea is inspired by the realization that there is very little to no evidence that mammal brains are performing back-prop-like operations when learning. Are mammal brains strictly feed-forward? Maybe. Paper Link: https://www.cs.toronto.edu/~hinton/FFA13.pdf
Want to try FF yourself? Now you can do it in PyTorch!
Checkout it's now available on #github :
https://github.com/mohammadpz/pytorch_forward_forward
#مقاله
✅ @AI_Python
Geoffrey Hinton proposed a forward-forward (FF) algorithm at this year's NeurIPS.
The idea is inspired by the realization that there is very little to no evidence that mammal brains are performing back-prop-like operations when learning. Are mammal brains strictly feed-forward? Maybe. Paper Link: https://www.cs.toronto.edu/~hinton/FFA13.pdf
Want to try FF yourself? Now you can do it in PyTorch!
Checkout it's now available on #github :
https://github.com/mohammadpz/pytorch_forward_forward
#مقاله
✅ @AI_Python
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
🖥 Github: https://github.com/threedle/3DHighlighter
⭐️ Project: https://threedle.github.io/3DHighlighter/
⏩ Paprer: https://arxiv.org/abs/2212.11263
#مقاله
✅ @AI_Python
🖥 Github: https://github.com/threedle/3DHighlighter
⭐️ Project: https://threedle.github.io/3DHighlighter/
⏩ Paprer: https://arxiv.org/abs/2212.11263
#مقاله
✅ @AI_Python
✅ Text Autoencoder (RNN) to generate news headlines
✅
✳️ @ai_python
✅
The idea is similar to the kind of image autoencoder we built in lecture: we will have an encoder that maps a news headline to a vector embedding, and then a decoder that reconstructs the news headline. Both our encoder and decoder networks will be Recurrent Neural Networks, so that you have a chance to practice building a neural network that takes a sequence as an input a neural network that generates a sequence as an output.
✳️ Github Link✳️ @ai_python