Artificial Intelligence l l AI Updates

🔗 GitHub_Link ❇️ An Efficient Implementation of Kolmogorov-Arnold Network #KAN Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link 🔗 Tutorial_Link ❇️ Goat flock counting in a forest using Ultralytics 🐐🌱 #YOLO #ObjectDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Kolmogorov-Arnold Networks (KANs) Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Unbiased Estimator for Distorted Conics in Camera Calibration #CameraCalibration Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ LLM-Finetuning #LLM #Finetuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Taming Diffusion Probabilistic Models for Character Control #Diffusion Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs #LLM Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction #ObjectDetection #Diffusion #ObjectTracking Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ACT: Action Chunking with Transformers #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ A unified framework for robot learning #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ miniBET Clean implementation of conditional and unconditional behavior transformer. #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ OK-ROBOT #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ See to Touch: Learning Tactile Dexterity through Visual Incentives #robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link 💫 Computer Vision Community Course now LIVE! From the awesome Hugging Face🤗 folks + many amazing people from the computer vision community, comes the greatest computer vision course in the entire galaxy 🌌 🤝A computer vision course made by the community, for the community.🤝 📚 Here is a glimpse of what is covered in the course: - Fundamentals of computer vision (yes, you have no excuse now 😄) - Convolutional Neural Network - Vision Transformers - Generative Models 🔥 - Video and Video Processing - 3D Vision, Scene Rendering and Reconstruction - Zero-shot Computer Vision - Ethics and Biases and many more... #tutorial #ComputerVision #HuggingFace Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation 🌟Few pointers from the paper 🎯The widespread adoption of data-driven learning has led to remarkable progress in multi-fingered dexterity, bimanual manipulation, and applications ranging from logistics to home robotics. 🎯However, existing data collection platforms are often proprietary, costly, or tailored to specific robotic morphologies. 🎯 In this paper authors have presented “OPEN TEACH”, a new fully open-sourced teleoperation system leveraging VR headsets to immerse users in mixed reality for intuitive robot control. 🎯Built on the affordable Meta Quest 3, which costs $500, OPEN TEACH enables real-time control of various robots, including multi-fingered hands, bimanual arms, and mobile manipulators, through an easy-to-use app. #Robotics Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 Colab_Link ❇️ Pose Estimation #PoseEstimation Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link 🚦 Traffic Analytics with Lane-Level Vehicle Speed Estimation ☘️ Accurately estimates vehicle speeds at a lane-level granularity. ☘️ Utilizes computer vision and deep learning algorithms to track multiple lanes simultaneously. ☘️ Enables data-driven decisions for optimizing traffic flow and road infrastructure. ☘️ Potential applications in urban planning, traffic management, and autonomous vehicles. Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates