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
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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
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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
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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
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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
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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!
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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
80+ Python Coding Challenges for Beginners.pdf
525 KB
π Title: 80+ Python Coding Challenges for Beginners (2024)
Why Python? Why This Book?
* Progressive Learning.
* Challenge Variety
* Interactive and Engaging
* Real-World Applications
* Beyond the Basics
Happy Learning! π
@MachineLearning_Programming
Why Python? Why This Book?
* Progressive Learning.
* Challenge Variety
* Interactive and Engaging
* Real-World Applications
* Beyond the Basics
Happy Learning! π
@MachineLearning_Programming
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6.5 MB
π 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! π
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ Seamless Integration: Train, test, and visualize with simple commands.
Demo Visualization:Visualize the demo by configuring your video path in
Pretrained Weights:Quick start with our pretrained weights stored in the
π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ Seamless Integration: Train, test, and visualize with simple commands.
Demo Visualization:Visualize the demo by configuring your video path in
main.py
and showcasing the power of 3DGazeNet.Pretrained Weights:Quick start with our pretrained weights stored in the
weights
folder.π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
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14.3 MB
π Bring Your Portraits to Life with LivePortrait AI! π
π¨ Introducing LivePortrait: The Ultimate Tool for Animated Portraits π¨
π Features:
β¨ One-Click Animation: Generate animated portraits effortlessly.
π Keypoint Detection: Precise facial keypoint transformation.
π₯ Video Processing: Drive animations with video inputs.
π§ Model Integration: Seamlessly combines various advanced models.
π Template Creation: Create consistent and repeatable motion templates.
β¨ Why LivePortrait?
User-Friendly: Intuitive design for easy use.
High-Quality Animations: Realistic and captivating results.
π Check it out on GitHub:
LivePortrait AI GitHub Repository
#Watch_the_magic_with_one_click
βοΈ Give us a star and join the revolution in portrait animation! βοΈ
β @MachineLearning_Programming
π¨ Introducing LivePortrait: The Ultimate Tool for Animated Portraits π¨
π Features:
β¨ One-Click Animation: Generate animated portraits effortlessly.
π Keypoint Detection: Precise facial keypoint transformation.
π₯ Video Processing: Drive animations with video inputs.
π§ Model Integration: Seamlessly combines various advanced models.
π Template Creation: Create consistent and repeatable motion templates.
β¨ Why LivePortrait?
User-Friendly: Intuitive design for easy use.
High-Quality Animations: Realistic and captivating results.
π Check it out on GitHub:
LivePortrait AI GitHub Repository
#Watch_the_magic_with_one_click
βοΈ Give us a star and join the revolution in portrait animation! βοΈ
β @MachineLearning_Programming
result.gif
17.7 MB
π Aruco Pose Estimator: Elevate Your Vision Projects!
π― Why Aruco Pose Estimator?
Real-Time Detection: Seamlessly detect ArUco markers in live video feeds.
3D Pose Estimation: Accurately estimate the orientation and position of markers.
Comprehensive Metrics: Get real-time pitch, yaw, roll, and distance estimations.
Key Features:
Real-Time Detection: Detects ArUco markers instantly.
3D Pose Estimation: Provides precise orientation and position.
Orientation Metrics: Calculates and displays pitch, yaw, and roll.
Distance Measurement: Estimates marker distance from the camera.
π½ Real-Time Visualization:
β¨ Join the Community!
Boost your computer vision projects with Aruco Pose Estimator.
Explore more on GitHub and don't forget to give us a star!
β @MachineLearning_Programming
π― Why Aruco Pose Estimator?
Real-Time Detection: Seamlessly detect ArUco markers in live video feeds.
3D Pose Estimation: Accurately estimate the orientation and position of markers.
Comprehensive Metrics: Get real-time pitch, yaw, roll, and distance estimations.
Key Features:
Real-Time Detection: Detects ArUco markers instantly.
3D Pose Estimation: Provides precise orientation and position.
Orientation Metrics: Calculates and displays pitch, yaw, and roll.
Distance Measurement: Estimates marker distance from the camera.
π½ Real-Time Visualization:
β¨ Join the Community!
Boost your computer vision projects with Aruco Pose Estimator.
Explore more on GitHub and don't forget to give us a star!
β @MachineLearning_Programming
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ChatGPT can now be integrated directly into the brain β competitors of Neuralink have embedded the popular neural network into their chip π
Thanks to AI, a paralyzed man has gained the ability to communicate with his family: ChatGPT "reads" his thoughts and converts them into text, and eventually, into speech.
β @MachineLearning_Programming
Thanks to AI, a paralyzed man has gained the ability to communicate with his family: ChatGPT "reads" his thoughts and converts them into text, and eventually, into speech.
β @MachineLearning_Programming
π Discover the World of Quantization with These 5 Free Resources!π
Are you eager to dive into quantization? Look no further! Here are five fantastic, free resources to get you started:
π A Visual Guide to Quantization
* A crystal-clear and intuitive guide by Maarten Grootendorst.
* Explore the Guide
π Introduction to Quantization with π€ and ππ§βπ³
* A beginner-friendly introduction by Merve Noyan, featuring simple code samples.
* Start Learning
π₯ Quantization Fundamentals with Hugging Face
* An introductory video course from DeepLearning.AI and Hugging Face, utilizing PyTorch and Quanto.
* Watch the Course
π Quantization in Depth
* A deeper dive into building quantizers from scratch in this advanced short course.
* Delve Deeper
π Evaluating Quantization
* A unique blog post by Fireworks AI on the often-overlooked topic of evaluating quantizations.
* Read the Blog
Whether you're a novice or looking to deepen your understanding, these resources will guide you on your quantization journey. Happy learning! π
π Join Our Channel for More Insights!
Are you eager to dive into quantization? Look no further! Here are five fantastic, free resources to get you started:
π A Visual Guide to Quantization
* A crystal-clear and intuitive guide by Maarten Grootendorst.
* Explore the Guide
π Introduction to Quantization with π€ and ππ§βπ³
* A beginner-friendly introduction by Merve Noyan, featuring simple code samples.
* Start Learning
π₯ Quantization Fundamentals with Hugging Face
* An introductory video course from DeepLearning.AI and Hugging Face, utilizing PyTorch and Quanto.
* Watch the Course
π Quantization in Depth
* A deeper dive into building quantizers from scratch in this advanced short course.
* Delve Deeper
π Evaluating Quantization
* A unique blog post by Fireworks AI on the often-overlooked topic of evaluating quantizations.
* Read the Blog
Whether you're a novice or looking to deepen your understanding, these resources will guide you on your quantization journey. Happy learning! π
π Join Our Channel for More Insights!
Learn to deploy Gen AI Modelsππ»
MLOps Masterclass
Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
Register Nowπ
https://bit.ly/mlops-masterclass
Schedule:
Aug 31th (Sat) & Sep 1st (Sun), 10AM to 3:30 PM
π₯ Limited Seats Available!
MLOps Masterclass
Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy
Register Nowπ
https://bit.ly/mlops-masterclass
Schedule:
Aug 31th (Sat) & Sep 1st (Sun), 10AM to 3:30 PM
π₯ Limited Seats Available!