500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
👉https://t.me/DeepLearning_ai
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
👉https://t.me/DeepLearning_ai
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep…
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
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Review — SFA: Simplified-Fast-AlexNet (Blur Classification)
In this story, Blur Image Classification based on Deep Learning, (SFA), is reviewed. In this paper:
Simplified-Fast-AlexNet (SFA) is designed to classify if an image is blurred by defocus blur, Gaussian blur, haze blur, or motion blur.
https://medium.com/nerd-for-tech/review-sfa-simplified-fast-alexnet-blur-classification-4121e6d813f9
👉https://t.me/DeepLearning_ai
In this story, Blur Image Classification based on Deep Learning, (SFA), is reviewed. In this paper:
Simplified-Fast-AlexNet (SFA) is designed to classify if an image is blurred by defocus blur, Gaussian blur, haze blur, or motion blur.
https://medium.com/nerd-for-tech/review-sfa-simplified-fast-alexnet-blur-classification-4121e6d813f9
👉https://t.me/DeepLearning_ai
Medium
Review — SFA: Simplified-Fast-AlexNet (Blur Classification)
“Review — SFA: Simplified-Fast-AlexNet (Blur Classification)” is published by Sik-Ho Tsang in Nerd For Tech.
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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
👍4❤1
Millions of learners have used Class Central to find their next course.
https://www.classcentral.com/
Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL
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Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL
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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 (❤️'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 (❤️'d by Andrew Ng):
Chrome: AI/ML Papers with Code Everywhere - CatalyzeX
https://t.me/DeepLearning_ai
👍3
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.
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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:
- 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
👇👇👇
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
👇👇👇
🤩1
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teaser.gif
19.1 MB
GIRAFFE: A Closer Look at the Code for CVPR 2021’s 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
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💡AI Workshop: Bring Your Use Case Ideas to Life 💡
👍In this online workshop, we present how you can use AI services and start prototyping in minutes.
👍We 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:
✅ Free Registration
✅ Basic Python knowledge
👉16 July, 17:00 - 18:00 CET👈
https://www.linkedin.com/events/6814928657631473664/
👍In this online workshop, we present how you can use AI services and start prototyping in minutes.
👍We 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:
✅ Free Registration
✅ Basic Python knowledge
👉16 July, 17:00 - 18:00 CET👈
https://www.linkedin.com/events/6814928657631473664/
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Review — 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 — 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 🔥🔥.
https://t.me/DeepLearning_ai
https://t.me/DeepLearning_ai
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Deep Learning with PyTorch by Microsoft 🔥🔥.
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
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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
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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.
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