Universal Speech translator:
https://twitter.com/MetaAI/status/1582776841001000960?t=SBsNvtAapvY5-CWXe3ymFQ&s=19
@AI_Python
https://twitter.com/MetaAI/status/1582776841001000960?t=SBsNvtAapvY5-CWXe3ymFQ&s=19
@AI_Python
↪️ Targeted Adversarial Self-Supervised Learning
🖥 Github: https://github.com/Kim-Minseon/RoCL
📄Paper: https://arxiv.org/abs/2210.10482v1
🔩 Adversarial Self-Supervised Contrastive Learning: https://sites.google.com/view/rocl2020
✳️ @AI_Python
🖥 Github: https://github.com/Kim-Minseon/RoCL
📄Paper: https://arxiv.org/abs/2210.10482v1
🔩 Adversarial Self-Supervised Contrastive Learning: https://sites.google.com/view/rocl2020
✳️ @AI_Python
قابلیت جدیدی که کیوی نداشت رو برای ایرانی ها بهش اضافه کردم، دیگه میتونید از زبان فارسی استفاده کنید.
چند بار ارتباط گرفتم تا درستش کنند اما اونا برای ایرانی ها کاری نکردن خودم درستش کردم تا ماهم استفاده کنیم.
لطفاً نشر حداکثری، تا از قابلیت های این کتابخونه همه ی فارسی زبانان استفاده کنند.
github.com/goldaaa/kivyir
با تشکر از @core0day
کانال تلگرامش: t.me/kivyiran
چند بار ارتباط گرفتم تا درستش کنند اما اونا برای ایرانی ها کاری نکردن خودم درستش کردم تا ماهم استفاده کنیم.
لطفاً نشر حداکثری، تا از قابلیت های این کتابخونه همه ی فارسی زبانان استفاده کنند.
github.com/goldaaa/kivyir
با تشکر از @core0day
کانال تلگرامش: t.me/kivyiran
GitHub
GitHub - goldaaa/kivyir: kivy persian | kivy فارسی
kivy persian | kivy فارسی. Contribute to goldaaa/kivyir development by creating an account on GitHub.
➡️ MetaFormer Baselines for Vision
🖥 Github: https://github.com/sail-sg/metaformer
🗒 Paper: https://arxiv.org/abs/2210.13452v1
➡️ Dataset: https://paperswithcode.com/dataset/imagenet
#مقاله
🖥 Github: https://github.com/sail-sg/metaformer
🗒 Paper: https://arxiv.org/abs/2210.13452v1
➡️ Dataset: https://paperswithcode.com/dataset/imagenet
#مقاله
Full Stack Deep Learning course edition is Marvelous, in case you haven’t checked out. Great content and presentation, and the course is FREE for everyone. All the lectures are available on YouTube.
✅ Lecture 1: Course Vision and When to Use ML
✅ Lecture 2: Development Infrastructure & Tooling
✅ Lecture 3: Troubleshooting & Testing
✅ Lecture 4 : Data Management
✅ Lecture 5 : Deployment
✅ Lecture 6: Continual Learning
✅ Lecture 7: Foundation Models
✅ Lecture 8: ML Teams and Project Management
✅ Lecture 9: Ethics
Check out the full videos and detailed notes on their website - https://fullstackdeeplearning.com/course/2022/.
Youtube Channel -
https://youtube.com/FullStackDeepLearning
✅ Lecture 1: Course Vision and When to Use ML
✅ Lecture 2: Development Infrastructure & Tooling
✅ Lecture 3: Troubleshooting & Testing
✅ Lecture 4 : Data Management
✅ Lecture 5 : Deployment
✅ Lecture 6: Continual Learning
✅ Lecture 7: Foundation Models
✅ Lecture 8: ML Teams and Project Management
✅ Lecture 9: Ethics
Check out the full videos and detailed notes on their website - https://fullstackdeeplearning.com/course/2022/.
Youtube Channel -
https://youtube.com/FullStackDeepLearning
Fullstackdeeplearning
The Full Stack - FSDL 2022
Full Stack Deep Learning course covers the full stack for building ML-powered products.
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
🖥 Github: https://github.com/wq2012/SpectralCluster
🗒 Paper: https://arxiv.org/abs/2210.13690v1
🔩 Speaker Diarization with LSTM: https://huggingface.co/datasets/poloclub/diffusiondb
#مقاله
🖥 Github: https://github.com/wq2012/SpectralCluster
🗒 Paper: https://arxiv.org/abs/2210.13690v1
🔩 Speaker Diarization with LSTM: https://huggingface.co/datasets/poloclub/diffusiondb
#مقاله
Deep Learning Course, University of Geneva
A great deep learning intro course that covers various neural network architectures(ConvNets, MLPs, RNNs, attention, generative models) & techniques for training them. Really good notes & slides!
DL course: https://fleuret.org/dlc
A great deep learning intro course that covers various neural network architectures(ConvNets, MLPs, RNNs, attention, generative models) & techniques for training them. Really good notes & slides!
DL course: https://fleuret.org/dlc
fleuret.org
UNIGE 14x050 – Deep Learning
Slides and virtual machine for François Fleuret's Deep Learning Course
⭐️ Masked Vision-Language Transformer in Fashion
🖥 Github: https://github.com/gewelsji/mvlt
🗒 Paper: https://arxiv.org/abs/2210.15110v1
➡️ Dataset: https://paperswithcode.com/dataset/fashion-gen
#مقاله
🖥 Github: https://github.com/gewelsji/mvlt
🗒 Paper: https://arxiv.org/abs/2210.15110v1
➡️ Dataset: https://paperswithcode.com/dataset/fashion-gen
#مقاله
You don't need to buy a GPU for machine learning work!
There are other alternatives. Here are some:
1. Google Colab
2. Kaggle
3. Deepnote
4. AWS SageMaker
5. GCP Notebooks
6. Azure Notebooks
7. Cocalc
8. Binder
9. Saturncloud
10. Datablore
11. IBM Notebooks
Spend your time focusing on your problem.
#منابع
✳️ @AI_Python
There are other alternatives. Here are some:
1. Google Colab
2. Kaggle
3. Deepnote
4. AWS SageMaker
5. GCP Notebooks
6. Azure Notebooks
7. Cocalc
8. Binder
9. Saturncloud
10. Datablore
11. IBM Notebooks
Spend your time focusing on your problem.
#منابع
✳️ @AI_Python
آیا سرویسهای ترجمه و نقشه گوگل برای شما فیلتر شده است ؟
maps.google.com translate.google.com
maps.google.com translate.google.com
Anonymous Poll
66%
آره
34%
نه دسترسی دارم بدون فیلترشکن/ویپیان
Text-Only Training for Image Captioning using Noise-Injected CLIP
🖥 Github: https://github.com/davidhuji/capdec
🗒 Paper: https://arxiv.org/abs/2211.00575v1
➡️ Dataset: https://paperswithcode.com/dataset/flickrstyle10k
#مقاله
✳️ @AI_Python
🖥 Github: https://github.com/davidhuji/capdec
🗒 Paper: https://arxiv.org/abs/2211.00575v1
➡️ Dataset: https://paperswithcode.com/dataset/flickrstyle10k
#مقاله
✳️ @AI_Python
What makes a productive #PhD student?
A. A SUPPORTIVE supervisor
B. SUFFICIENT salary each month
C. LIMITED working hours
That’s all needed for a PhD fellow to perform productively.
Link: https://doi.org/10.1016/j.respol.2022.104561
#مقاله
✳️ @AI_Python
A. A SUPPORTIVE supervisor
B. SUFFICIENT salary each month
C. LIMITED working hours
That’s all needed for a PhD fellow to perform productively.
Link: https://doi.org/10.1016/j.respol.2022.104561
#مقاله
✳️ @AI_Python
Looking for a good machine learning course?
Applied Machine Learning
Cornell Tech, 2020.
100% Free. 80 videos.
Full playlist: https://youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
#فیلم #منابع #یادگیری_ماشین #کلاس_آموزشی
#MachineLearning
✳️ @AI_Python
Applied Machine Learning
Cornell Tech, 2020.
100% Free. 80 videos.
Full playlist: https://youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
#فیلم #منابع #یادگیری_ماشین #کلاس_آموزشی
#MachineLearning
✳️ @AI_Python
Video lectures, University of Toronto MAT1841:
Mathematics of Massive Data Analysis: Fundamentals and Applications fall 2021, by Yun William Yu
https://courses.ywyu.net/MAT1841-2021-Fall/
https://www.youtube.com/playlist?list=PLME5LqfUcYzltPyDe-nQgwXrabqDU3oRD
#فیلم #منابع
✳️ @AI_Python
Mathematics of Massive Data Analysis: Fundamentals and Applications fall 2021, by Yun William Yu
https://courses.ywyu.net/MAT1841-2021-Fall/
https://www.youtube.com/playlist?list=PLME5LqfUcYzltPyDe-nQgwXrabqDU3oRD
#فیلم #منابع
✳️ @AI_Python
YouTube
MAT1841 - YouTube
GoogleAI recently announced 3 ways they are planning scale Ai technologies.
1) Ai Model Supporting 1,000 languages with AI.
2) Empowering creators & artists with Image text-to-image model.
3) Addressing climate change and health challenges with AI.
To know more: https://blog.google/technology/ai/ways-ai-is-scaling-helpful/
✳️ @AI_Python
1) Ai Model Supporting 1,000 languages with AI.
2) Empowering creators & artists with Image text-to-image model.
3) Addressing climate change and health challenges with AI.
To know more: https://blog.google/technology/ai/ways-ai-is-scaling-helpful/
✳️ @AI_Python
Google
3 ways AI is scaling helpful technologies worldwide
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.
کتاب رایگان Computer Vision
"Computer Vision: Algorithms and Applications" by Richard Szeliski.
Read it on the author's website: https://szeliski.org/Book/
#کتاب #بینایی_کامپیوتر #منابع
✳️ @AI_Python
"Computer Vision: Algorithms and Applications" by Richard Szeliski.
Read it on the author's website: https://szeliski.org/Book/
#کتاب #بینایی_کامپیوتر #منابع
✳️ @AI_Python