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News about AI & DL & ML!!! Admin: @Gayrat_Tangriberganov
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π GitHub_Link
βοΈ TinySAM: Pushing the Envelope for Efficient Segment Anything Model
#SAM
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βοΈ Animate-X: Universal Character Image Animation with Enhanced Motion Representation
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βοΈ SynthMoCap Datasets π¦
#Dataset
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βοΈ Real-time and easy-to-use football trackerπ₯
#PoseEstimation #YOLO
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βοΈ DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
#Tracking
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βοΈ Continuous test-time adaptation algorithms for object detection on the SHIFT dataset
#Dataset
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βοΈ AI-powered padel analytics π₯πΈ
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βοΈ TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
#Tracking
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βοΈ Samba: Synchronized Set-of-Sequences Modeling for End-to-end Multiple Object Tracking
#Tracking
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βοΈ Sveltekit openai realtime api πΉβοΈπ₯
π this is a svelte component for using the openai realtime api (and mostly a direct port to svelte of the openai-realtime-console repository).
#LLMs
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βοΈ This is the unofficial repository for the book: " Large Language Models: Apply and Implement Strategies for Large Language Models "
#LLMs #langchain #Tutorial
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βοΈ Prompting Large Language Models with Audio for General-Purpose Speech Summarization
#LLMs #Speech #Audio
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βοΈ A high-performance C++ headers for real-time object detection using YOLO models, leveraging ONNX Runtime and OpenCV for seamless integration. Supports multiple YOLO versions (v5, v7, v8, v10, v11) with optimized inference on CPU and GPU. Includes sample code, scripts for image, video, and live camera inference, and tools for quantization.
#YOLO
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βοΈ MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
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βοΈ BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
#3D
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βοΈ Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
#DepthEstimation
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βοΈ FacePoke π₯
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βοΈ MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling π₯π₯π₯
#3D
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βοΈ Template-free Articulated Neural Point Clouds for Reposable View Synthesis
#NeRF
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βοΈ VCoder: Versatile Vision Encoders for Multimodal Large Language Models
#Multimodal #LLMs
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