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Streamline Your Learning Journey - Available Now
eightify.app/dl
Bid farewell to the tedium of sifting through protracted YouTube videos exceeding one hour. Stay abreast of the latest news and trends effortlessly and in a fraction of the time!
The Eightify Advantage:
Versatile Compatibility: Efficiently condenses videos of any duration, even those extending up to 32 hours.
Rapid Synopsis Generation: Remarkably swift, providing quality summaries in an average time of just 8 seconds.
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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 our community:
👉 @deeplearning_ai
source code:https://github.com/NVIDIA-AI-IOT/nanosam
Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training
- 🧐 Evaluation - 👏 Acknowledgment
join our community:
👉 @deeplearning_ai
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Make your all writing and communications easy with Pismo writing assistant for Mac.
Pismo can assist you with lots of writing tasks. Here are some examples:
* language translations
* adjusting message tone
* correcting spelling
* improving text
* writing persuasive emails
It works in all Mac applications, including Telegram, Slack, WhatsApp, and Figma. Use our selected prompts or create your own and launch it with a hotkey.
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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Pismo can assist you with lots of writing tasks. Here are some examples:
* language translations
* adjusting message tone
* correcting spelling
* improving text
* writing persuasive emails
It works in all Mac applications, including Telegram, Slack, WhatsApp, and Figma. Use our selected prompts or create your own and launch it with a hotkey.
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!
Pismo has got your back with plans starting as low as $7.10 per month!
Try now with 7 days free trial.
MLOps Masterclass
🔥50% OFF on registration
🏆 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.
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Why you shouldn't miss this Masterclass?
✔️ 15+ hands-on exercises.
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✔️One-on-One Debugging Session (Optional)
Schedule:
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🔥50% OFF on registration
🏆 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 Now👇
https://bit.ly/mlops-nov23
Why you shouldn't miss this Masterclass?
✔️ 15+ hands-on exercises.
✔️ 2 Real-life industry projects.
✔️Dedicated mentoring sessions from industry experts.
✔️ 10 hours session consisting of theory + Hands-on.
✔️One-on-One Debugging Session (Optional)
Schedule:
November 18th (Sat) & 19th (Sun)
Highlights of this Masterclass:
▪️MLOps Introduction
▪️Getting started with AWS for Machine Learning
▪️AWS SageMaker Studio
▪️CI/CD Tools
▪️AWS MLOps Tools
▪️AWS MLOps - Build, Train & deploy ML Model
🔥 Limited Seats Available!
☎️ Contact:
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Harvard CS50 – 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:
👉 @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:
👉 @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. Malan…
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
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3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ best channels on Telegram:
https://www.tg-me.com/addlist/8_rRW2scgfRhOTc0
✅ Data Science Books:
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4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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✅ best channels on Telegram:
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✅ Data Science Books:
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VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
🤗🤗🤗 VideoCrafter is an open-source video generation and editing toolbox for crafting video content.
It currently includes the Text2Video and Image2Video models:
source code: https://github.com/ailab-cvc/videocrafter
join our community:
👉 @deeplearning_ai
🤗🤗🤗 VideoCrafter is an open-source video generation and editing toolbox for crafting video content.
It currently includes the Text2Video and Image2Video models:
source code: https://github.com/ailab-cvc/videocrafter
join our community:
👉 @deeplearning_ai
* 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:
👉 @deeplearning_ai
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:
👉 @deeplearning_ai
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 feat...
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ best channels on Telegram:
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tile.gif
17.8 MB
Generative Models by Stability AI
source code: https://github.com/stability-ai/generative-models
paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf
provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).
join our community:
👉 @deeplearning_ai
source code: https://github.com/stability-ai/generative-models
paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf
provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).
join our community:
👉 @deeplearning_ai
🌟 Join the AI Revolution with AiNews.com! 🌟
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📢 FREE TRAINING: Master MLOps for ML deployment and operations on AWS, Azure, GCP & open-source tools! 🚀
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👥 Share with fellow ML enthusiasts! 🚀✨
🔥 Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud 🚀
👉 Reserve your seat now:
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🌟 What you'll gain:
1️⃣ ML model deployment techniques on AWS, Azure, GCP & open source.
2️⃣ Efficient data management insights.
3️⃣ Explore the latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.
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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
paper: https://arxiv.org/pdf/2312.12491v1.pdf
source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file
paper: https://arxiv.org/pdf/2312.12491v1.pdf
source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ best channels on Telegram:
https://www.tg-me.com/addlist/8_rRW2scgfRhOTc0
✅ Data Science Books:
https://www.tg-me.com/DataScienceM
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ best channels on Telegram:
https://www.tg-me.com/addlist/8_rRW2scgfRhOTc0
✅ Data Science Books:
https://www.tg-me.com/DataScienceM