🚀 Iris Tracking with MediaPipe 👁️

🔍 Dive into the fascinating world of iris tracking with MediaPipe!

▶️ WebCam Inference
🎉 Check out our project: Source Code

✅ https://yangx.top/deeplearning_ai

Join the second round of free startup acceleration program in September 2024

Final call for applications for Roboteam program which is ideal for those looking to start a business but who lack coding skills or a team.

Throughout the program, participants will learn how to generate business ideas, build prototypes, and use AI to attract investors. Key elements include business idea experimentation, step-by-step guidance on AI for non-developers, networking opportunities, and preparation for a startup pitch.

The program runs for 4 weeks:

- Week 1: Learn how AI can become your junior co-founder.

- Week 2: Dive into lean startup principles, business modeling, and customer development.

- Week 3: Create a prototype using AI.

- Week 4: Master startup finance and build a pitch deck with AI

No coding skills or IT experience are required.

The program runs from September 9 to October 4, with applications open until September 6 on the website https://myroboteam.com/.

❇️ Creating an AI that Knows When You’re Eating Without Seeing or Hearing 🍽👀


https://github.com/ZSturman/Hows-My-Eating


https://yangx.top/deeplearning_ai

🚨 FREE MLOps TRAINING ALERT 🚨

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❇️ BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

🔗 Discover More:
* Source Code: GitHub
* Project Page: BundleSDF
* Supplement Video: Try it here
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai

"DARTH: Holistic Test-time Adaptation for Multiple Object Tracking"

🔗 Discover More:
* Source Code: GitHub


✅ https://yangx.top/deeplearning_ai

❇️ 3D Reconstruction with Spatial Memory


🔗 Discover More:
* Source Code: GitHub
* Project Page: Spann3R
* Supplement Video: Try it here
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai

🔗 Discover More:
* Source Code: GitHub
* Try Demo: Try it here


✅ https://yangx.top/deeplearning_ai

Are you an avid traveler? 🧳✈️

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Date: Sunday, November 24, 11:00 AM IST

Free Registration Link: https://www.buildfastwithai.com/events/automate-your-travel-planning

🎁 First 50 registrants get our exclusive " LinkedIn AI Automation Cheat Sheet " – your shortcut to automate outreach!

https://yangx.top/BuildFastWithAI

🚀 Generative AI & MLOps Masterclass!

💥 Course Highlights:

1. Generative AI: Master text, image, and multimodal generation.
2. AWS & LangChain: Hands-on with Bedrock, SageMaker, and more.
3. Prompt Engineering: Craft effective prompts to improve AI results.
4. AI Agents: Build solutions with Amazon Bedrock.
5. MLOps for LLMs: Operationalize and deploy AI models.
6. Responsible AI: Build ethical, safeguarded AI solutions.
7. Model Customization: Fine-tune AI models for specific tasks.

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🔥 What You’ll Gain:

Master AWS tools, LangChain, and more. Real-world use cases in text, image generation, and AI agents.

Certification to boost your AI career.

🗓️ Course Duration: 23Hrs
💼 Ideal for: AI Enthusiasts, Data Scientists, Developers.

Feel free to reach out for more details!

❇️ AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction 🔥


🔗 Discover More:
* Github Link
* Project Page: AniGS
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai

HunyuanVideo: A Systematic Framework For Large Video Generation Model


🔗 Discover More:
* Source code: Github
* Project Page: HunyuanVideo
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai

PanoDreamer: 3D Panorama Synthesis from a Single Image

🔗 Discover More:
* Source code: Github
* Project Page: PanoDreamer
* Paper: Read the paper
* YouTube: Video Results

✅ https://yangx.top/deeplearning_ai

Elevating Flow-Guided Video Inpainting with Reference Generation

🔗 Discover More:
* Source code: Github
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai

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OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving

🔗 Discover More:
* Source code: Github
* Paper: Read the paper

✅ https://yangx.top/deeplearning_ai