Forwarded from Artificial Intelligence && Deep Learning (Shohruh)
Segment Anything in High Quality
We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned!
https://github.com/syscv/sam-hq
@deeplearning_ai
We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned!
https://github.com/syscv/sam-hq
@deeplearning_ai
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Why you shouldn't miss this Masterclass?
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βοΈ 10 hours session consisting of theory + Hands-on.
βοΈOne-on-One Debugging Session (Optional)
Schedule:
August 12th (Sat) & 13th (Sun)
Highlights of this Masterclass:
βͺοΈMLOps Introduction
βͺοΈGetting started with AWS for Machine Learning
βͺοΈAWS SageMaker Studio
βͺοΈCI/CD Tools
βͺοΈAWS MLOps Tools
βͺοΈAWS MLOps - Build, Train & deploy ML Model
π₯ Limited Seats Available!
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Forwarded from Artificial Intelligence && Deep Learning (Shohruh)
Stanford University has just opened full access to CS224U. One of their immensely popular graduate-level Natural Language Understanding course taught by Professor Christopher Potts.
GitHub: https://github.com/cgpotts/cs224u
YouTube: https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp
@deeplearning_ai
GitHub: https://github.com/cgpotts/cs224u
YouTube: https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp
@deeplearning_ai
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If someone has made your picture viral like this, immediately inform the cyber security team, file a case with them and take immediate action "
join us: @MachineLearning_Programming
If someone has made your picture viral like this, immediately inform the cyber security team, file a case with them and take immediate action "
join us: @MachineLearning_Programming
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NanoSAM is a Segment Anything (SAM) model variant that is capable of running in π₯ real-time π₯ on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes π Usage - β± Performance - π Setup - π€Έ Examples - ποΈ Training
- π§ Evaluation - π Acknowledgment - π See also
join us: @MachineLearning_Programming
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes π Usage - β± Performance - π Setup - π€Έ Examples - ποΈ Training
- π§ Evaluation - π Acknowledgment - π See also
join us: @MachineLearning_Programming
GitHub
GitHub - facebookresearch/segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM)β¦
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. -...
NanoSAM is a Segment Anything (SAM) model variant that is capable of running in π₯ real-time π₯ on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes π Usage - β± Performance - π Setup - π€Έ Examples - ποΈ Training
- π§ Evaluation - π Acknowledgment - π
JOIN: @MachineLearning_Programming
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes π Usage - β± Performance - π Setup - π€Έ Examples - ποΈ Training
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JOIN: @MachineLearning_Programming
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Here is a real-life example. I needed to send an email to a potential client in Japan. To prepare, I first read their website, which was in Japanese. I used Pismo to translate it. Then, I wrote my email in my language, asked Pismo to improve it, and translated it into Japanese. And that's it! There are no communication barriers anymore!
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MLOps Masterclass
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Why you shouldn't miss this Masterclass?
βοΈ 15+ hands-on exercises.
βοΈ 2 Real-life industry projects.
βοΈDedicated mentoring sessions from industry experts.
βοΈ 10 hours session consisting of theory + Hands-on.
βοΈOne-on-One Debugging Session (Optional)
Schedule:
November 18th (Sat) & 19th (Sun)
Highlights of this Masterclass:
βͺοΈMLOps Introduction
βͺοΈGetting started with AWS for Machine Learning
βͺοΈAWS SageMaker Studio
βͺοΈCI/CD Tools
βͺοΈAWS MLOps Tools
βͺοΈAWS MLOps - Build, Train & deploy ML Model
π₯ Limited Seats Available!
βοΈ Contact:
Sarath Kumar
+918940876397 / +918778033930
π₯50% OFF on registration
π Unlock your full potential with MLOps Masterclass
Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your ML models in a real-time production environment.
Register Nowπ
https://bit.ly/mlops-nov23
Why you shouldn't miss this Masterclass?
βοΈ 15+ hands-on exercises.
βοΈ 2 Real-life industry projects.
βοΈDedicated mentoring sessions from industry experts.
βοΈ 10 hours session consisting of theory + Hands-on.
βοΈOne-on-One Debugging Session (Optional)
Schedule:
November 18th (Sat) & 19th (Sun)
Highlights of this Masterclass:
βͺοΈMLOps Introduction
βͺοΈGetting started with AWS for Machine Learning
βͺοΈAWS SageMaker Studio
βͺοΈCI/CD Tools
βͺοΈAWS MLOps Tools
βͺοΈAWS MLOps - Build, Train & deploy ML Model
π₯ Limited Seats Available!
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+918940876397 / +918778033930
Forwarded from Artificial Intelligence && Deep Learning (Shohruh)
Harvard CS50 β Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
join our community:
π @deeplearning_ai
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
join our community:
π @deeplearning_ai
freeCodeCamp.org
Harvard CS50 β Free Computer Science Course (2023 Edition)
Harvard University's CS50 is one of the most popular beginner computer science courses in the world. We just released the entire 26-hour CS50 course on the freeCodeCamp.org YouTube channel. This is the updated 2023 edition of the course. Dr. David J....
* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository.
Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements.
video: https://www.youtube.com/watch?v=cxi1WQr-HKE
source code: https://github.com/Shohruh72/PIPNet/tree/main
join our community:
@MachineLearning_Programming
Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements.
video: https://www.youtube.com/watch?v=cxi1WQr-HKE
source code: https://github.com/Shohruh72/PIPNet/tree/main
join our community:
@MachineLearning_Programming