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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!
Pismo has got your back with plans starting as low as $7.10 per month!
Try now with 7 days free trial.
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.
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MLOps Masterclass
๐ฅ50% OFF on registration
๐ 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 Now๐
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Why you shouldn't miss this Masterclass?
โ๏ธ 15+ hands-on exercises.
โ๏ธ 2 Real-life industry projects.
โ๏ธDedicated mentoring sessions from industry experts.
โ๏ธ 10 hours session consisting of theory + Hands-on.
โ๏ธOne-on-One Debugging Session (Optional)
Schedule:
November 18th (Sat) & 19th (Sun)
Highlights of this Masterclass:
โช๏ธMLOps Introduction
โช๏ธGetting started with AWS for Machine Learning
โช๏ธAWS SageMaker Studio
โช๏ธCI/CD Tools
โช๏ธAWS MLOps Tools
โช๏ธAWS MLOps - Build, Train & deploy ML Model
๐ฅ Limited Seats Available!
โ๏ธ Contact:
Sarath Kumar
+918940876397 / +918778033930
๐ฅ50% OFF on registration
๐ 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 Now๐
https://bit.ly/mlops-nov23
Why you shouldn't miss this Masterclass?
โ๏ธ 15+ hands-on exercises.
โ๏ธ 2 Real-life industry projects.
โ๏ธDedicated mentoring sessions from industry experts.
โ๏ธ 10 hours session consisting of theory + Hands-on.
โ๏ธOne-on-One Debugging Session (Optional)
Schedule:
November 18th (Sat) & 19th (Sun)
Highlights of this Masterclass:
โช๏ธMLOps Introduction
โช๏ธGetting started with AWS for Machine Learning
โช๏ธAWS SageMaker Studio
โช๏ธCI/CD Tools
โช๏ธAWS MLOps Tools
โช๏ธAWS MLOps - Build, Train & deploy ML Model
๐ฅ Limited Seats Available!
โ๏ธ Contact:
Sarath Kumar
+918940876397 / +918778033930
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MLOps+Masterclass+November+2023.pdf
6.1 MB
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Harvard CS50 โ 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:
๐ @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:
๐ @deeplearning_ai
freeCodeCamp.org
Harvard CS50 โ 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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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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/DataScienceM
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VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
๐ค๐ค๐ค 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:
๐ @deeplearning_ai
๐ค๐ค๐ค 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:
๐ @deeplearning_ai
๐26โค11๐2๐ฑ1
* 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:
๐ @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:
๐ @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 features.
๐ Source Code: https://github.com/Shohruh72/PIPNet
Learn how to set up PIPNet, see live demonstrationsโฆ
Explore facial landmark detection with PIPNet in this concise video. Get hands-on with the code and see how PIPNet accurately detects facial features.
๐ Source Code: https://github.com/Shohruh72/PIPNet
Learn how to set up PIPNet, see live demonstrationsโฆ
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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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/Codeprogrammer
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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/Codeprogrammer
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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:
๐ @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:
๐ @deeplearning_ai
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๐ Join the AI Revolution with AiNews.com! ๐
๐ Meet Michael, the driving force behind AiNews.com, straight from sunny California! ๐
๐ฉโ๐ป Discover the latest and greatest in Pure AI News and exclusive, FREE AI products.
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๐ Meet Michael, the driving force behind AiNews.com, straight from sunny California! ๐
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๐ Be a part of our ever-growing subscriber community.
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Join us with just your email and help propel AiNews.com to new heights.
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๐ฎ Stay Ahead with AiNews.com - Your Gateway to the Future of AI! ๐ฎ
AiNews.com
AiNews.com delivers trusted, expert-driven AI news and insights to help you stay ahead of the curve
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Artificial Intelligence && Deep Learning pinned ยซ๐ Join the AI Revolution with AiNews.com! ๐ ๐ Meet Michael, the driving force behind AiNews.com, straight from sunny California! ๐ ๐ฉโ๐ป Discover the latest and greatest in Pure AI News and exclusive, FREE AI products. ๐ Be a part of our ever-growing subscriberโฆยป
๐ข FREE TRAINING: Master MLOps for ML deployment and operations on AWS, Azure, GCP & open-source tools! ๐
๐ฅ Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud ๐
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2๏ธโฃ Efficient data management insights.
3๏ธโฃ Explore the latest MLOps tools.
4๏ธโฃ Real-time interaction with expert instructors.
๐ฉ Limited spots available! Don't miss out!
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๐ฅ Share with fellow ML enthusiasts! ๐โจ
๐ฅ Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud ๐
๐ Reserve your seat now:
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๐ What you'll gain:
1๏ธโฃ ML model deployment techniques on AWS, Azure, GCP & open source.
2๏ธโฃ Efficient data management insights.
3๏ธโฃ Explore the latest MLOps tools.
4๏ธโฃ Real-time interaction with expert instructors.
๐ฉ Limited spots available! Don't miss out!
๐ Enroll now:
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๐ฅ Share with fellow ML enthusiasts! ๐โจ
๐33โค10๐8
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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
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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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/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
โ best channels on Telegram:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
โ Data Science Books:
https://t.iss.one/DataScienceM
๐16โค10๐2
Open-Vocabulary SAM
[Paper] [Project Page] [Hugging Face Demo]
Source Code: https://github.com/harboryuan/ovsam?tab=readme-ov-file
join our community:
๐ @deeplearning_ai
[Paper] [Project Page] [Hugging Face Demo]
Source Code: https://github.com/harboryuan/ovsam?tab=readme-ov-file
join our community:
๐ @deeplearning_ai
๐22โค5
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PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
[Paper] [Project Page] [Model Card]
[๐ค Demo (Realistic)] [๐ค Demo (Stylization)]
๐ Key Features:
1. Rapid customization within seconds, with no additional LoRA training.
2. Ensures impressive ID fidelity, offering diversity, promising text controllability, and high-quality generation.
3. Can serve as an Adapter to collaborate with other Base Models alongside LoRA modules in community.
[Paper] [Project Page] [Model Card]
[๐ค Demo (Realistic)] [๐ค Demo (Stylization)]
๐ Key Features:
1. Rapid customization within seconds, with no additional LoRA training.
2. Ensures impressive ID fidelity, offering diversity, promising text controllability, and high-quality generation.
3. Can serve as an Adapter to collaborate with other Base Models alongside LoRA modules in community.
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Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data
[Paper] [Code] [Demo]
join our community:
๐ @deeplearning_ai
Unleashing the Power of Large-Scale Unlabeled Data
[Paper] [Code] [Demo]
join our community:
๐ @deeplearning_ai
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