This media is not supported in your browser
VIEW IN TELEGRAM
π΄π΄Direct-a-Video: driving Video Generationπ΄π΄
πDirect-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin.
ππ’π π‘π₯π’π π‘ππ¬:
β Decoupling camera/object motion in gen-AI
β Allowing users to independently/jointly control
β Novel temporal cross-attention for cam motion
β Training-free spatial cross-attention for objects
β Driving object generation via bounding boxes
hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse
πChannel: @MachineLearning_Programming
πPaper https://arxiv.org/pdf/2402.03162.pdf
πProject https://direct-a-video.github.io/
πDirect-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin.
ππ’π π‘π₯π’π π‘ππ¬:
β Decoupling camera/object motion in gen-AI
β Allowing users to independently/jointly control
β Novel temporal cross-attention for cam motion
β Training-free spatial cross-attention for objects
β Driving object generation via bounding boxes
hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse
πChannel: @MachineLearning_Programming
πPaper https://arxiv.org/pdf/2402.03162.pdf
πProject https://direct-a-video.github.io/
Result.gif
23.1 MB
π Discover 6DRepNet: The Ultimate Head Pose Estimation Model!
Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets
Watch the performance showcase on GitHub for future advancements.
[Source Code] [Paper]
join our community:
π @deeplearning_ai
Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets
Watch the performance showcase on GitHub for future advancements.
[Source Code] [Paper]
join our community:
π @deeplearning_ai
π’ FREE TRAINING:
Navigating the Landscape of MLOps & LLMOps π
π₯ Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud π
π Reserve your seat now:
https://bit.ly/mlops-webinar
π What you'll gain:
1οΈβ£ ML model deployment techniques on AWS, Azure, GCP & open source.
2οΈβ£ Efficient data management insights.
3οΈβ£ Explore the latest MLOps tools.
4οΈβ£ Real-time interaction with expert instructors.
π© Limited spots available! Don't miss out!
π Enroll now:
https://bit.ly/mlops-webinar
π₯ Share with fellow ML enthusiasts! πβ¨
Navigating the Landscape of MLOps & LLMOps π
π₯ Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud π
π Reserve your seat now:
https://bit.ly/mlops-webinar
π What you'll gain:
1οΈβ£ ML model deployment techniques on AWS, Azure, GCP & open source.
2οΈβ£ Efficient data management insights.
3οΈβ£ Explore the latest MLOps tools.
4οΈβ£ Real-time interaction with expert instructors.
π© Limited spots available! Don't miss out!
π Enroll now:
https://bit.ly/mlops-webinar
π₯ Share with fellow ML enthusiasts! πβ¨
Forwarded from SHOHRUH
Enhance Your AI Insights with AiNews.com
Unlock the full potential of AI with a subscription to AiNews.com, your premier source for cutting-edge AI insights. Stay at the forefront of innovation and trends with content that empowers and informs.
Expand your network by joining our LinkedIn Group, a hub for AI professionals and enthusiasts alike.
Stay Informed. Stay Ahead. With AiNews.com
Unlock the full potential of AI with a subscription to AiNews.com, your premier source for cutting-edge AI insights. Stay at the forefront of innovation and trends with content that empowers and informs.
Expand your network by joining our LinkedIn Group, a hub for AI professionals and enthusiasts alike.
Stay Informed. Stay Ahead. With AiNews.com
AiNews.com
Bringing the Future of AI to You
Forwarded from Python | Machine Learning | Coding | R
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/DataScienceM
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
AiOS: The Future of Human Shape & Pose Recovery
Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.
Highlights:
β First-of-its-Kind: Single-stage EHPS with zero extra detection networks.
β Innovative Design: Unique "Human-as-Tokens" concept for deeper insights.
β Enhanced Dynamics: Sophisticated attention to human relationships.
β Comprehensive Analysis: Unified feature system for unparalleled whole-body understanding.
β Unmatched Performance: Top-tier results sans ground truth bounding boxes.
Explore More:
Project Page
Read the Paper
@MachineLearning_Programming
Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.
Highlights:
β First-of-its-Kind: Single-stage EHPS with zero extra detection networks.
β Innovative Design: Unique "Human-as-Tokens" concept for deeper insights.
β Enhanced Dynamics: Sophisticated attention to human relationships.
β Comprehensive Analysis: Unified feature system for unparalleled whole-body understanding.
β Unmatched Performance: Top-tier results sans ground truth bounding boxes.
Explore More:
Project Page
Read the Paper
@MachineLearning_Programming
LeGrad: Layerwise Explainability GRADient method for large ViT transformer architectures
Explore More:
π»DEMO: you may use demo
πRead the Paper: Access Here
π»Source Code: Explore on GitHub
Relevance: #AI #machinelearning #deeplearning #computervision
join our community:
π @MachineLearning_Programming
Explore More:
π»DEMO: you may use demo
πRead the Paper: Access Here
π»Source Code: Explore on GitHub
Relevance: #AI #machinelearning #deeplearning #computervision
join our community:
π @MachineLearning_Programming
msg609873512-965877.jpg
120 KB
π Explore AI News with Us! π€
Looking for top-notch AI updates?
Don't miss out on our Telegram channel!
We offer daily insights into the latest advancements, research papers, and industry news.
π Join now: https://t.me/Artificial_Intelligence_Updates
Join our community of AI enthusiasts and stay ahead of the curve! πβ¨
Looking for top-notch AI updates?
Don't miss out on our Telegram channel!
We offer daily insights into the latest advancements, research papers, and industry news.
π Join now: https://t.me/Artificial_Intelligence_Updates
Join our community of AI enthusiasts and stay ahead of the curve! πβ¨
India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta.
How do you use these models?
How can you create apps with them?
Join our free workshop on to learn how to use Llama 3 and create apps with it.
Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive
You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/
This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.
How do you use these models?
How can you create apps with them?
Join our free workshop on to learn how to use Llama 3 and create apps with it.
Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive
You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/
This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.
Learn to deploy Gen Ai Models to production π
MLOps Masterclass
Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
Schedule:
May 25th (Sat) & 26th (Sun), 10AM to 3:30 PM
Register Nowπ
https://bit.ly/mlops-masterclass
π₯ Limited Seats Available!
βοΈ Contact:
Sarath Kumar
+918940876397 / +918778033930
MLOps Masterclass
Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
Schedule:
May 25th (Sat) & 26th (Sun), 10AM to 3:30 PM
Register Nowπ
https://bit.ly/mlops-masterclass
π₯ Limited Seats Available!
βοΈ Contact:
Sarath Kumar
+918940876397 / +918778033930
Result.gif
23.1 MB
π Discover LiteHPE: Advanced Head Pose Estimation π
Features:
π οΈ Setup in Minutes:
π Top-Tier Performance:
β Achieve low Mean Absolute Error rates
β Models range from MobileOne_s0 to s4
β Pretrained models ready for download
π π Star us on GitHub for the latest updates: LiteHPE on GitHub.
Boost your project's capabilities with LiteHPE β the forefront of head pose estimation technology!
#AI #MachineLearning #HeadPoseEstimation #Technology #DeepLearning
π Join now: @MachineLearning_Programming
Features:
π οΈ Setup in Minutes:
π Top-Tier Performance:
β Achieve low Mean Absolute Error rates
β Models range from MobileOne_s0 to s4
β Pretrained models ready for download
π π Star us on GitHub for the latest updates: LiteHPE on GitHub.
Boost your project's capabilities with LiteHPE β the forefront of head pose estimation technology!
#AI #MachineLearning #HeadPoseEstimation #Technology #DeepLearning
π Join now: @MachineLearning_Programming
π Join Our Team as a Senior Data Researcher at Wunder Fund! π
π Location: Remote/Relocation to various countries
πΈ Salary: $5k-$7k+ per month (USD or Crypto)
At wunderfund.io we've been in the HFT trading game since 2014 and our daily trading volume is around $8B. We're looking for a Senior Data Researcher to lead our neural networks direction.
πΎWhat Youβll Do:
- Train models, test hypotheses, and achieve maximum model accuracy
- Work with top-tier programmers, mathematicians, and physicists
π€What You Will Need:
- Proficiency in Python and Mathematics
- Experience with Kaggle (Master/Grandmaster)
- Success in training transformers and LSTM
π Learn More & Apply
π Location: Remote/Relocation to various countries
πΈ Salary: $5k-$7k+ per month (USD or Crypto)
At wunderfund.io we've been in the HFT trading game since 2014 and our daily trading volume is around $8B. We're looking for a Senior Data Researcher to lead our neural networks direction.
πΎWhat Youβll Do:
- Train models, test hypotheses, and achieve maximum model accuracy
- Work with top-tier programmers, mathematicians, and physicists
π€What You Will Need:
- Proficiency in Python and Mathematics
- Experience with Kaggle (Master/Grandmaster)
- Success in training transformers and LSTM
π Learn More & Apply
00001.gif
5.8 MB
3D Shot Posture Dataset
This dataset consists of the 3d and 2d postures of professional football players under shot situations.
Content of the dataset:
In 3dsp/train
20 cropped image x 200 shot
Tracklet, 2d and 3d keypoints
In 3dsp/test
20 cropped image x 10 shots
Tracklet
https://github.com/calvinyeungck/3D-Shot-Posture-Dataset
join our community:
π @MachineLearning_Programming
This dataset consists of the 3d and 2d postures of professional football players under shot situations.
Content of the dataset:
In 3dsp/train
20 cropped image x 200 shot
Tracklet, 2d and 3d keypoints
In 3dsp/test
20 cropped image x 10 shots
Tracklet
https://github.com/calvinyeungck/3D-Shot-Posture-Dataset
join our community:
π @MachineLearning_Programming
Are you struggling with invoking functions, passing arguments, or handling return values in Large Language Models (LLMs)?
Whether youβre a seasoned developer or just starting your journey in Gen AI.
In this session, weβll explore the fascinating world of invoking functions using LLMs.
1. Introduction to LLMs.
2. Function Calls: Basics and Syntax.
3. Live Coding Examples.
4. Q&A Session.
Register For Free:
π Date: 14th June, Friday
β° Time: 9 PM, IST
π Link : https://www.buildfastwithai.com/events/function-calling-with-llms
Whether youβre a seasoned developer or just starting your journey in Gen AI.
In this session, weβll explore the fascinating world of invoking functions using LLMs.
1. Introduction to LLMs.
2. Function Calls: Basics and Syntax.
3. Live Coding Examples.
4. Q&A Session.
Register For Free:
π Date: 14th June, Friday
β° Time: 9 PM, IST
π Link : https://www.buildfastwithai.com/events/function-calling-with-llms
This media is not supported in your browser
VIEW IN TELEGRAM
Ultralytics YOLOv8 for Smarter Parking Management Systems
π»Project Details: Discover More
π Join now: @MachineLearning_Programming
π»Project Details: Discover More
π Join now: @MachineLearning_Programming
π MLOps Market to reach US$4 Billion in 2025
Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!
Navigating the Landscape of MLOps & LLMOps
π Unlock ML deployment secrets on top clouds & open source.
π‘ Dive into data management insights.
π οΈ Harness the latest MLOps tools.
π₯ Real-time expert interaction.
π₯ Limited spots! Enroll now:
https://bit.ly/mlops-free-class
π Share with ML enthusiasts! #MLOps #AI #TechTraining
Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!
Navigating the Landscape of MLOps & LLMOps
π Unlock ML deployment secrets on top clouds & open source.
π‘ Dive into data management insights.
π οΈ Harness the latest MLOps tools.
π₯ Real-time expert interaction.
π₯ Limited spots! Enroll now:
https://bit.ly/mlops-free-class
π Share with ML enthusiasts! #MLOps #AI #TechTraining
This media is not supported in your browser
VIEW IN TELEGRAM
π GitHub_Link
βοΈ MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
#Mesh
Join my channel: @MachineLearning_Programming
βοΈ MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
#Mesh
Join my channel: @MachineLearning_Programming
This media is not supported in your browser
VIEW IN TELEGRAM
πΉ VideoLLaMA 2: Open-Source Video-LLMs for Video Generation
VideoLLaMA 2 is a cutting-edge set of open-source Video-LLMs designed for advanced video generation. Building on the successes of previous models, VideoLLaMA 2 introduces a specialized space-time convolution (STC) component, enabling it to effectively capture complex dynamics in video.
π Resources:
π₯ GitHub
π€ Demo
β VideoLLaMA 2 Model
Explore the capabilities of VideoLLaMA 2 and revolutionize your video generation projects!
VideoLLaMA 2 is a cutting-edge set of open-source Video-LLMs designed for advanced video generation. Building on the successes of previous models, VideoLLaMA 2 introduces a specialized space-time convolution (STC) component, enabling it to effectively capture complex dynamics in video.
π Resources:
π₯ GitHub
π€ Demo
β VideoLLaMA 2 Model
Explore the capabilities of VideoLLaMA 2 and revolutionize your video generation projects!
output_demo.gif
21.2 MB
πFACE ID: Face Identification π
Hello tech enthusiasts! π
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
π Check out our project and see it in action!
π Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Hereβs how you can help:
βοΈ Star our repository to show your appreciation and help us gain more visibility.
π Share with your network to spread the word about Face ID.
π Give us feedback by reviewing the code and suggesting improvements.
Thank you for being part of our journey. Let's create something amazing! π
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
Happy Learning! π
Hello tech enthusiasts! π
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
π Check out our project and see it in action!
π Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Hereβs how you can help:
βοΈ Star our repository to show your appreciation and help us gain more visibility.
π Share with your network to spread the word about Face ID.
π Give us feedback by reviewing the code and suggesting improvements.
Thank you for being part of our journey. Let's create something amazing! π
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
Happy Learning! π