Forwarded from Artificial Intelligence && Deep Learning (SHOHRUH)
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Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Paper:
https://arxiv.org/pdf/2207.10660.pdf
Github:
https://github.com/facebookresearch/omni3d
Project page:
https://garrickbrazil.com/omni3d/
invite your friends 🌹🌹🌹
@Deeplearning_ai
Paper:
https://arxiv.org/pdf/2207.10660.pdf
Github:
https://github.com/facebookresearch/omni3d
Project page:
https://garrickbrazil.com/omni3d/
invite your friends 🌹🌹🌹
@Deeplearning_ai
🔥 Machine Learning Operations (MLOps) Specialization Course Demo
# FREE CLASS
Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools
📈 Key Highlights of course
✔️ 40 Hours of Live sessions from Industrial Experts
✔️ 50+ Live Hands-on Labs
✔️ 5+ Real-time industrial projects
✔️ One-on-One with Industry Mentors
👉🏻 Registration Link
https://bit.ly/mlops-demo-course
🧑🏻🎓 What You Will Learn?
▪️Introduction to ML and MLOps stages
▪️Introduction to Git & CI/CD
▪️Docker & Kubernetes Overview
▪️Kubernetes Deployment Strategy
▪️Introduction to Model Management
▪️Feature Store
▪️Cloud ML Services 101
▪️Kubeflow Intro
▪️Introduction to Model Monitoring
▪️Introduction to Automl tools
▪️Post-Deployment Challenges
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
# FREE CLASS
Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools
📈 Key Highlights of course
✔️ 40 Hours of Live sessions from Industrial Experts
✔️ 50+ Live Hands-on Labs
✔️ 5+ Real-time industrial projects
✔️ One-on-One with Industry Mentors
👉🏻 Registration Link
https://bit.ly/mlops-demo-course
🧑🏻🎓 What You Will Learn?
▪️Introduction to ML and MLOps stages
▪️Introduction to Git & CI/CD
▪️Docker & Kubernetes Overview
▪️Kubernetes Deployment Strategy
▪️Introduction to Model Management
▪️Feature Store
▪️Cloud ML Services 101
▪️Kubeflow Intro
▪️Introduction to Model Monitoring
▪️Introduction to Automl tools
▪️Post-Deployment Challenges
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
invite your friends 🌹🌹🌹
@MachineLearning_Programming
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
invite your friends 🌹🌹🌹
@MachineLearning_Programming
Welcome to the Ultralytics YOLOv8 🚀 notebook! YOLOv8 is the latest version of the YOLO object detection and image segmentation model developed by Ultralytics.
The YOLOv8 models are designed to be fast, accurate, and easy to use, making them an excellent choice for a wide range of object detection and image segmentation tasks.
source code: https://github.com/ultralytics/ultralytics
colab : https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb#scrollTo=t6MPjfT5NrKQ
MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
@MachineLearning_Programming
The YOLOv8 models are designed to be fast, accurate, and easy to use, making them an excellent choice for a wide range of object detection and image segmentation tasks.
source code: https://github.com/ultralytics/ultralytics
colab : https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb#scrollTo=t6MPjfT5NrKQ
MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
@MachineLearning_Programming
GLIGEN: Open-Set Grounded Text-to-Image Generation
GLIGEN (Grounded-Language-to-Image Generation) a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image diffusion models by enabling them to also be conditioned on grounding inputs.
Project page:
https://gligen.github.io/
Paper:
https://arxiv.org/abs/2301.07093
Github (coming soon):
https://github.com/gligen/GLIGEN
Demo:
https://huggingface.co/spaces/gligen/demo
@MachineLearning_Programming
GLIGEN (Grounded-Language-to-Image Generation) a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image diffusion models by enabling them to also be conditioned on grounding inputs.
Project page:
https://gligen.github.io/
Paper:
https://arxiv.org/abs/2301.07093
Github (coming soon):
https://github.com/gligen/GLIGEN
Demo:
https://huggingface.co/spaces/gligen/demo
@MachineLearning_Programming
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Machine Learning Operations (MLOps) Masterclass
🏆 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-class
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.
Schedule:
11th,Sat & 12th,Sun March
Highlights of this Masterclass:
▪️Machine Learning Operations (MLOps) Introduction
▪️Getting started with AWS for Machine Learning
▪️AWS SageMaker
▪️CI/CD Tools
▪️AWS MLOps Tools
▪️AWS MLOps - Build, Train & deploy ML Model
🏆 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-class
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.
Schedule:
11th,Sat & 12th,Sun March
Highlights of this Masterclass:
▪️Machine Learning Operations (MLOps) Introduction
▪️Getting started with AWS for Machine Learning
▪️AWS SageMaker
▪️CI/CD Tools
▪️AWS MLOps Tools
▪️AWS MLOps - Build, Train & deploy ML Model
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3D-aware Conditional Image Synthesis (pix2pix3D)
Pix2pix3D synthesizes 3D objects (neural fields) given a 2D label map, such as a segmentation or edge map
Github:
https://github.com/dunbar12138/pix2pix3D
Paper:
https://arxiv.org/abs/2302.08509
Project:
https://www.cs.cmu.edu/~pix2pix3D/
Datasets:
CelebAMask , AFHQ-Cat-Seg , Shapenet-Car-Edge
@MachineLearning_Programming
Pix2pix3D synthesizes 3D objects (neural fields) given a 2D label map, such as a segmentation or edge map
Github:
https://github.com/dunbar12138/pix2pix3D
Paper:
https://arxiv.org/abs/2302.08509
Project:
https://www.cs.cmu.edu/~pix2pix3D/
Datasets:
CelebAMask , AFHQ-Cat-Seg , Shapenet-Car-Edge
@MachineLearning_Programming
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Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Source code: https://github.com/microsoft/visual-chatgpt
Paper: https://arxiv.org/pdf/2303.04671v1.pdf
@MachineLearning_Programming
Source code: https://github.com/microsoft/visual-chatgpt
Paper: https://arxiv.org/pdf/2303.04671v1.pdf
@MachineLearning_Programming
🔥 Machine Learning Operations (MLOps) Specialization Course Demo
# FREE CLASS
Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools
📈 Key Highlights of course
✔️ 40 Hours of Live sessions from Industrial Experts
✔️ 50+ Live Hands-on Labs
✔️ 5+ Real-time industrial projects
✔️ One-on-One with Industry Mentors
👉🏻 Registration Link
https://bit.ly/mlops-live
🧑🏻🎓 What You Will Learn?
▪️Introduction to ML and MLOps stages
▪️Introduction to Git & CI/CD
▪️Docker & Kubernetes Overview
▪️Kubernetes Deployment Strategy
▪️Introduction to Model Management
▪️Feature Store
▪️Cloud ML Services 101
▪️Kubeflow Intro
▪️Introduction to Model Monitoring
▪️Introduction to Automl tools
▪️Post-Deployment Challenges
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
# FREE CLASS
Learn to Design production-ready ML Pipelines to Build, Train and Deploy your Machine learning models on AWS, Azure, GCP & Open- Source tools
📈 Key Highlights of course
✔️ 40 Hours of Live sessions from Industrial Experts
✔️ 50+ Live Hands-on Labs
✔️ 5+ Real-time industrial projects
✔️ One-on-One with Industry Mentors
👉🏻 Registration Link
https://bit.ly/mlops-live
🧑🏻🎓 What You Will Learn?
▪️Introduction to ML and MLOps stages
▪️Introduction to Git & CI/CD
▪️Docker & Kubernetes Overview
▪️Kubernetes Deployment Strategy
▪️Introduction to Model Management
▪️Feature Store
▪️Cloud ML Services 101
▪️Kubeflow Intro
▪️Introduction to Model Monitoring
▪️Introduction to Automl tools
▪️Post-Deployment Challenges
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
👉 @MachineLearning_Programming
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
👉 @MachineLearning_Programming
Text2Video-Zero
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Paper: https://arxiv.org/abs/2303.13439
Video Result: video result link
Source code: https://github.com/picsart-ai-research/text2video-zero
join us: @MachineLearning_Programming
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Paper: https://arxiv.org/abs/2303.13439
Video Result: video result link
Source code: https://github.com/picsart-ai-research/text2video-zero
join us: @MachineLearning_Programming
Dropbox
Text2Video-Zero.MP4
Shared with Dropbox
Machine Learning Operations (MLOps) Masterclass
🏆 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
🏆 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
Forwarded from Artificial Intelligence && Deep Learning (Shohruh)
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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 GIFTS ALERT 🚨
Want to get up-to-date with the AI landscape in 5min?
I created the Byte-Sized AI Newsletter as my way of staying on track every week, and it’s 🆓!
🔥 Specially for Programmers, I’ve also partnered with sponsors to gift you some free gifts when you subscribe:
1️⃣ An AI-powered coding skills assessment report (worth $39!)
2️⃣ Free Notion Templates + Discount codes for AI add-on features
3️⃣ Fun eBook titled “5 Theories on The Future of AI”
👉 CLICK HERE TO SUBSCRIBE AND GET YOUR FREE GIFTS!
Want to get up-to-date with the AI landscape in 5min?
I created the Byte-Sized AI Newsletter as my way of staying on track every week, and it’s 🆓!
🔥 Specially for Programmers, I’ve also partnered with sponsors to gift you some free gifts when you subscribe:
1️⃣ An AI-powered coding skills assessment report (worth $39!)
2️⃣ Free Notion Templates + Discount codes for AI add-on features
3️⃣ Fun eBook titled “5 Theories on The Future of AI”
👉 CLICK HERE TO SUBSCRIBE AND GET YOUR FREE GIFTS!
📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀
🔥 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! 🚀✨
🔥 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
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