CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
join us: https://t.me/DeepLearning_ai
https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
join us: https://t.me/DeepLearning_ai
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State of the art in Video Object Segmentation.
[paper]: https://www.catalyzex.com/paper/arxiv:2106.05210
Free extension to get code for ML papers (β€οΈ'd by Andrew Ng):
Chrome: AI/ML Papers with Code Everywhere - CatalyzeX
https://t.me/DeepLearning_ai
[paper]: https://www.catalyzex.com/paper/arxiv:2106.05210
Free extension to get code for ML papers (β€οΈ'd by Andrew Ng):
Chrome: AI/ML Papers with Code Everywhere - CatalyzeX
https://t.me/DeepLearning_ai
Probabilistic two-stage detection
Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network.
github:
https://github.com/xingyizhou/CenterNet2?utm_source=catalyzex.com
paper:
https://arxiv.org/pdf/2103.07461.pdf
https://t.me/DeepLearning_ai
Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network.
github:
https://github.com/xingyizhou/CenterNet2?utm_source=catalyzex.com
paper:
https://arxiv.org/pdf/2103.07461.pdf
https://t.me/DeepLearning_ai
GitHub
GitHub - xingyizhou/CenterNet2: Two-stage CenterNet
Two-stage CenterNet. Contribute to xingyizhou/CenterNet2 development by creating an account on GitHub.
Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog
Why Course Catalog?
- Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free.
Free Tutorials:
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Coursecatalog
- From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials.
t.me/deeplearning_ai
πππ
Why Course Catalog?
- Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free.
Free Tutorials:
- The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science.
Coursecatalog
- From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials.
t.me/deeplearning_ai
πππ
teaser.gif
19.1 MB
GIRAFFE: A Closer Look at the Code for CVPR 2021βs Best Paper
[Paper] http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf
[Source] https://github.com/autonomousvision/giraffe
[Blog] https://autonomousvision.github.io/giraffe/
[Interactive slides] https://m-niemeyer.github.io/slides/#/4
[Collected] https://m-niemeyer.github.io/project-pages/giraffe/index.html
https://t.me/DeepLearning_ai
[Paper] http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf
[Source] https://github.com/autonomousvision/giraffe
[Blog] https://autonomousvision.github.io/giraffe/
[Interactive slides] https://m-niemeyer.github.io/slides/#/4
[Collected] https://m-niemeyer.github.io/project-pages/giraffe/index.html
https://t.me/DeepLearning_ai
π‘AI Workshop: Bring Your Use Case Ideas to Life π‘
πIn this online workshop, we present how you can use AI services and start prototyping in minutes.
πWe cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing.
After this workshop, you will know:
1. What is AI as a Service, and how does it work?
2. What are Computer Vision, NLP, and Speech?
3. How can you prototype your AI products before actual implementation?
Requirements:
β Free Registration
β Basic Python knowledge
π16 July, 17:00 - 18:00 CETπ
https://www.linkedin.com/events/6814928657631473664/
πIn this online workshop, we present how you can use AI services and start prototyping in minutes.
πWe cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing.
After this workshop, you will know:
1. What is AI as a Service, and how does it work?
2. What are Computer Vision, NLP, and Speech?
3. How can you prototype your AI products before actual implementation?
Requirements:
β Free Registration
β Basic Python knowledge
π16 July, 17:00 - 18:00 CETπ
https://www.linkedin.com/events/6814928657631473664/
Review β Non-local Neural Networks (Video Classification)
https://sh-tsang.medium.com/review-non-local-neural-networks-video-classification-object-detection-segmentation-pose-ac42fe57d0e4
https://t.me/DeepLearning_ai
https://sh-tsang.medium.com/review-non-local-neural-networks-video-classification-object-detection-segmentation-pose-ac42fe57d0e4
https://t.me/DeepLearning_ai
Medium
Review β Non-local Neural Networks (Video Classification)
Space, Time, & Spacetime Long-Range Interactions Captured by Non-local Neural Networks
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Woww! This is really awesome!! A new course to learn the fundamentals of Deep Learning with PyTorch by Microsoft π₯π₯.
https://t.me/DeepLearning_ai
https://t.me/DeepLearning_ai
Deep Learning with PyTorch by Microsoft π₯π₯.
100% free !
Course covers:
* An Introduction to PyTorch
* Computer Vision with PyTorch
* NLP with PyTorch
* Audio Classification with PyTorch
https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
https://t.me/DeepLearning_ai
100% free !
Course covers:
* An Introduction to PyTorch
* Computer Vision with PyTorch
* NLP with PyTorch
* Audio Classification with PyTorch
https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
https://t.me/DeepLearning_ai
YOLOX: Exceeding YOLO Series in 2021
Anchor-free version of YOLO series
Won the 1st Place on Streaming
Perception Challenge (Workshop on Autonomous Driving
at CVPR 2021)
t.me/deeplearning_ai
Anchor-free version of YOLO series
Won the 1st Place on Streaming
Perception Challenge (Workshop on Autonomous Driving
at CVPR 2021)
t.me/deeplearning_ai
A simpler design but better performance! It aims to bridge the gap between research and industrial communities.
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
t.me/deeplearning_ai
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
t.me/deeplearning_ai
Free Hands-on Demo Session organized by Management Career Institute
Topic: Application of AI in price prediction.
Deliverables:
-Basic of data handling part.
-Introducing to forecasting models.
-Introducing Deep learning based forecast.
-Explaining detailed architecture of the DL model.
-Implementing live on real time dataset.
Duration - 2 hours
Date - Thursday | 29th July
Time - 6.30 PM IST (Evening Slot)
Live Hands-on Session
Get Register Now: https://forms.gle/fkRv6dJnymew6sk6A
Who will be Instructor?
Instructor is Lead of Automation (Data Science & Artificial Intelligence) at Wipro. He has solved 60+ Research use cases, published 45+ Patents (received 23 grants) across various countries. He is also a Member of Advisory council at India ka AI.
Topic: Application of AI in price prediction.
Deliverables:
-Basic of data handling part.
-Introducing to forecasting models.
-Introducing Deep learning based forecast.
-Explaining detailed architecture of the DL model.
-Implementing live on real time dataset.
Duration - 2 hours
Date - Thursday | 29th July
Time - 6.30 PM IST (Evening Slot)
Live Hands-on Session
Get Register Now: https://forms.gle/fkRv6dJnymew6sk6A
Who will be Instructor?
Instructor is Lead of Automation (Data Science & Artificial Intelligence) at Wipro. He has solved 60+ Research use cases, published 45+ Patents (received 23 grants) across various countries. He is also a Member of Advisory council at India ka AI.
Swin Transformer for Object Detection
PAPER:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
VIDEO:
https://www.youtube.com/watch?v=FQVS_0Bja6o
CODE:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
@deeplearning_ai
PAPER:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
VIDEO:
https://www.youtube.com/watch?v=FQVS_0Bja6o
CODE:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
@deeplearning_ai
YouTube
Swin Transformer Object Detection Demo
Used detection model is Cascade Mask-RCNN with Swin-B backbone.
The model achieves mAP score of 51.9 on COCO dataset.
Video:
https://youtu.be/w7CTOkNWemc
Paper:
https://arxiv.org/abs/2103.14030
Code:
https://github.com/SwinTransformer/Swin-Transformerβ¦
The model achieves mAP score of 51.9 on COCO dataset.
Video:
https://youtu.be/w7CTOkNWemc
Paper:
https://arxiv.org/abs/2103.14030
Code:
https://github.com/SwinTransformer/Swin-Transformerβ¦
Hey if you are interested in learning data science, machine learning, deep learning or Big data. You will also get to know how to do career transition to data science field.
In this telegram group, you will get daily practice quizzes on interview questions, study materials, cheatsheets, blogs, books for free.
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https://t.me/dataspoof
In this telegram group, you will get daily practice quizzes on interview questions, study materials, cheatsheets, blogs, books for free.
Here is the telegram group that you can join
https://t.me/dataspoof
Telegram
DataSpoof
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https://dataspoof4081.graphy.com/membership
Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
Big data