PAPER WITH CODES
https://paperswithcode.com/
The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.
We believe this is best done together with the community, supported by NLP and ML.
Also operate specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics.
#Contributing
Anyone can contribute - look for the "Edit" buttons!
Want to submit a new code implementation? Search for the paper title, and then add the implementation on the paper page
https://paperswithcode.com/
you can find a sea of implemented source code with papers.
๐https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
https://paperswithcode.com/
The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.
We believe this is best done together with the community, supported by NLP and ML.
Also operate specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics.
#Contributing
Anyone can contribute - look for the "Edit" buttons!
Want to submit a new code implementation? Search for the paper title, and then add the implementation on the paper page
https://paperswithcode.com/
you can find a sea of implemented source code with papers.
๐https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
Paperswithcode
Papers with Code - The latest in Machine Learning
Papers With Code highlights trending Machine Learning research and the code to implement it.
500 + ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐๐ถ๐๐ ๐๐ถ๐๐ต ๐ฐ๐ผ๐ฑ๐ฒ
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
๐https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
๐https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deepโฆ
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
Review โ 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
๐https://www.tg-me.com/ArtificialIntelligence/com.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
๐https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
Medium
Review โ SFA: Simplified-Fast-AlexNet (Blur Classification)
โReviewโโโSFA: Simplified-Fast-AlexNet (Blur Classification)โ is published by Sik-Ho Tsang in Nerd For Tech.
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://www.tg-me.com/ArtificialIntelligence/com.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://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
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
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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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 (โค๏ธ'd by Andrew Ng):
Chrome: AI/ML Papers with Code Everywhere - CatalyzeX
https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
[paper]: https://www.catalyzex.com/paper/arxiv:2106.05210
Free extension to get code for ML papers (โค๏ธ'd by Andrew Ng):
Chrome: AI/ML Papers with Code Everywhere - CatalyzeX
https://www.tg-me.com/ArtificialIntelligence/com.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://www.tg-me.com/ArtificialIntelligence/com.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://www.tg-me.com/ArtificialIntelligence/com.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.
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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.
www.tg-me.com/deeplearning_ai
๐๐๐
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.
www.tg-me.com/deeplearning_ai
๐๐๐
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GIRAFFE: A Closer Look at the Code for CVPR 2021โs 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://www.tg-me.com/ArtificialIntelligence/com.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://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
๐กAI Workshop: Bring Your Use Case Ideas to Life ๐ก
๐In this online workshop, we present how you can use AI services and start prototyping in minutes.
๐We 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:
โ Free Registration
โ Basic Python knowledge
๐16 July, 17:00 - 18:00 CET๐
https://www.linkedin.com/events/6814928657631473664/
๐In this online workshop, we present how you can use AI services and start prototyping in minutes.
๐We 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:
โ Free Registration
โ Basic Python knowledge
๐16 July, 17:00 - 18:00 CET๐
https://www.linkedin.com/events/6814928657631473664/
Review โ Non-local Neural Networks (Video Classification)
https://sh-tsang.medium.com/review-non-local-neural-networks-video-classification-object-detection-segmentation-pose-ac42fe57d0e4
https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
https://sh-tsang.medium.com/review-non-local-neural-networks-video-classification-object-detection-segmentation-pose-ac42fe57d0e4
https://www.tg-me.com/ArtificialIntelligence/com.DeepLearning_ai
Medium
Review โ 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 ๐ฅ๐ฅ.
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Deep Learning with PyTorch by Microsoft ๐ฅ๐ฅ.
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://www.tg-me.com/ArtificialIntelligence/com.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://www.tg-me.com/ArtificialIntelligence/com.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)
www.tg-me.com/deeplearning_ai
Anchor-free version of YOLO series
Won the 1st Place on Streaming
Perception Challenge (Workshop on Autonomous Driving
at CVPR 2021)
www.tg-me.com/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
www.tg-me.com/deeplearning_ai
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
www.tg-me.com/deeplearning_ai