NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training
- 🧐 Evaluation - 👏 Acknowledgment - 🔗 See also
join us: @MachineLearning_Programming
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training
- 🧐 Evaluation - 👏 Acknowledgment - 🔗 See also
join us: @MachineLearning_Programming
GitHub
GitHub - facebookresearch/segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM)…
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. -...
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NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training
- 🧐 Evaluation - 👏 Acknowledgment - 🔗
JOIN: @MachineLearning_Programming
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training
- 🧐 Evaluation - 👏 Acknowledgment - 🔗
JOIN: @MachineLearning_Programming
👍6❤1
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join our community:
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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:
👉 @deeplearning_ai
freeCodeCamp.org
Harvard CS50 – 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....
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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
YouTube
"Facial Landmark Detection with PIPNet | Code Link Below"
Description:
Explore facial landmark detection with PIPNet in this concise video. Get hands-on with the code and see how PIPNet accurately detects facial features.
🔗 Source Code: https://github.com/Shohruh72/PIPNet
Learn how to set up PIPNet, see live demonstrations…
Explore facial landmark detection with PIPNet in this concise video. Get hands-on with the code and see how PIPNet accurately detects facial features.
🔗 Source Code: https://github.com/Shohruh72/PIPNet
Learn how to set up PIPNet, see live demonstrations…
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Computer Science and Programming pinned «🌟 Join the AI Revolution with AiNews.com! 🌟 🚀 Meet Michael, the driving force behind AiNews.com, straight from sunny California! 🌞 👩💻 Discover the latest and greatest in Pure AI News and exclusive, FREE AI products. 📈 Be a part of our ever-growing subscriber…»
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WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
CODE: https://github.com/Ascend-Research/HeadPoseEstimation-WHENet
CODE: https://github.com/Ascend-Research/HeadPoseEstimation-WHENet
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MLOps Masterclass
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Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
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▪️MLOps and Stages
▪️AWS SageMaker
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🔥Closing registration soon!
Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
Register Now👇
https://bit.ly/mlops-masterclass
Schedule:
February 24th (Sat) & 25th (Sun), 10AM to 2:30 PM
Highlights of this Masterclass:
▪️MLOps Introduction
▪️MLOps for LLM's (LLMOps)
▪️MLOps and Stages
▪️AWS SageMaker
▪️CI/CD for MLOps
▪️AWS MLOps - Build, Train & deploy ML Model
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