Stanford CS330: Deep Multi-Task and Meta Learning.
While deep learning has achieved remarkable success in many problems such as image classification, natural language processing, and speech recognition, these models are, to a large degree, specialized for the single task they are trained for. This course will cover the setting where there are multiple tasks to be solved, and study how the structure arising from multiple tasks can be leveraged to learn more efficiently or effectively. This includes:
- self-supervised pre-training for downstream few-shot learning and transfer learning
meta-learning methods that aim to learn efficient learning algorithms that can learn new tasks quickly
- curriculum and lifelong learning, where the problem requires learning a sequence of tasks, leveraging their shared structure to enable knowledge transfer
Course Schedule and Materials:
https://cs330.stanford.edu/
GET Free Course Link
Join us: @deeplarning_ai
While deep learning has achieved remarkable success in many problems such as image classification, natural language processing, and speech recognition, these models are, to a large degree, specialized for the single task they are trained for. This course will cover the setting where there are multiple tasks to be solved, and study how the structure arising from multiple tasks can be leveraged to learn more efficiently or effectively. This includes:
- self-supervised pre-training for downstream few-shot learning and transfer learning
meta-learning methods that aim to learn efficient learning algorithms that can learn new tasks quickly
- curriculum and lifelong learning, where the problem requires learning a sequence of tasks, leveraging their shared structure to enable knowledge transfer
Course Schedule and Materials:
https://cs330.stanford.edu/
GET Free Course Link
Join us: @deeplarning_ai
cs330.stanford.edu
CS 330 Deep Multi-Task and Meta Learning
Machine Learning Operations (MLOps) Masterclass
🏆 Unlock your full potential with MLOps Masterclass
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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)
👨💼 Who Should Attend? 👩💼
This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals.
Schedule:
May 27th (Sat) & 28th (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:
Sarath Kumar
+918940876397 / +918778033930
🏆 Unlock your full potential with MLOps Masterclass
Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment.
Register Now👇
https://bit.ly/MLOps-masterclass
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)
👨💼 Who Should Attend? 👩💼
This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals.
Schedule:
May 27th (Sat) & 28th (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:
Sarath Kumar
+918940876397 / +918778033930
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ImageBind: One Embedding Space To Bind Them All.
PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.
ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.
Source code: https://github.com/facebookresearch/imagebind
Paper: https://arxiv.org/pdf/2305.05665v1.pdf
@deeplearning_ai
PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.
ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.
Source code: https://github.com/facebookresearch/imagebind
Paper: https://arxiv.org/pdf/2305.05665v1.pdf
@deeplearning_ai
📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀
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👥 Share with fellow ML enthusiasts! 🚀✨
🔥 Join our FREE MLOps course demo and gain invaluable skills for AI and data science. 🚀
👉 Reserve your seat now: https://bit.ly/mlops-program
🌟 What you'll gain:
1️⃣ ML model deployment techniques.
2️⃣ Efficient data management insights.
3️⃣ Explore latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.
🚩 Limited spots available! Don't miss out!
👉 Enroll now: https://bit.ly/mlops-program
👥 Share with fellow ML enthusiasts! 🚀✨
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
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
📌 Security and Surveillance
📌 ADAS and Self Driving Cars
📌 Retail and E-Commerce
📌 Wildlife
Classification library
https://github.com/Tessellate-Imaging/monk_v1
Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo
Detection and Segmentation Library
https://github.com/Tessellate-Imaging/
Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo
👉 @deeplearning_ai
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
📌 Security and Surveillance
📌 ADAS and Self Driving Cars
📌 Retail and E-Commerce
📌 Wildlife
Classification library
https://github.com/Tessellate-Imaging/monk_v1
Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo
Detection and Segmentation Library
https://github.com/Tessellate-Imaging/
Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo
👉 @deeplearning_ai
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 Machine learning models in a real-time production environment.
Register Now👇
https://bit.ly/mlops-masterclass-aug
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:
August 12th (Sat) & 13th (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:
Sarath Kumar
+918940876397 / +918778033930
🔥50% OFF on registration
🏆 Unlock your full potential with MLOps Masterclass
Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment.
Register Now👇
https://bit.ly/mlops-masterclass-aug
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:
August 12th (Sat) & 13th (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:
Sarath Kumar
+918940876397 / +918778033930
Look what others ask from AI and Fork (continue) their conversation your way!
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🤖 AI-Powered Telegram Bot!
You can now chat to your PDFs, PPTXs, and more using the power of AI directly in Telegram with @TeleToolsAIbot! 🔥
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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
The impact of AI can often be underestimated at first glance. The changes it brings accumulate subtly, but their realization happens in leaps. Let us show you how profoundly people's lives can transform through AI. Take a leap in your own productivity and quality of life: unleash the full power of future on the PromptsIdeas marketplace.
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✅ Thousands of prompts for all popular AI models
❗️ Midjourney, ChatGPT, Stable Diffusion, Leonardo, Bard, and DALL-E
🎁 Free prompts
💲 Prices ranging from $0.99 to $9.99
➡️ Anyone can buy or sell their own prompts.
Crafted an amazing prompt? Earn from it by selling on PromptsIdeas!
Want to boost your productivity and speed up your workflow tenfold? Buy a prompt for a dollar and acquire a game-changing tool that ensures success by the million!
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📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀
🔥 Join our FREE MLOps course demo and gain invaluable skills for AI and data science. 🚀
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1️⃣ ML model deployment techniques.
2️⃣ Efficient data management insights.
3️⃣ Explore latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.
🚩 Limited spots available! Don't miss out!
👉 Enroll now: https://bit.ly/mlops-free-training
👥 Share with fellow ML enthusiasts! 🚀✨
🔥 Join our FREE MLOps course demo and gain invaluable skills for AI and data science. 🚀
👉 Reserve your seat now: https://bit.ly/mlops-free-training
🌟 What you'll gain:
1️⃣ ML model deployment techniques.
2️⃣ Efficient data management insights.
3️⃣ Explore latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.
🚩 Limited spots available! Don't miss out!
👉 Enroll now: https://bit.ly/mlops-free-training
👥 Share with fellow ML enthusiasts! 🚀✨
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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!
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.
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.
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:
Sarath Kumar
+918940876397 / +918778033930
🔥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:
Sarath Kumar
+918940876397 / +918778033930