Artificial Intelligence l l AI Updates
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News about AI & DL & ML!!! Admin: @Gayrat_Tangriberganov
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Немає даних24 години
+47 днів
+530 день
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🔗 GitHub_Link
❇️ ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
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❇️ Matching Anything by Segmenting Anything
#SAM #Tracking
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❇️ Retail vision + analytics using Ultralytics 😍🔥
#YOLO
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❇️ 3D StreetUnveiler with Semantic-Aware 2DGS
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🔗 Project_Page
❇️ SignLLM: Sign Languages Production Large Language Models
#LLMs
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🔗 GitHub_Link (coming soon)
❇️ How Video Meetings Change Your Expression
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❇️ 4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations
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❇️ 💥Video Annotation Tool💥
#Annotation #Dataset #Action #Video
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❇️ FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
#LLMs
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❇️ 🔥Portal🔥 is the fastest way to load and visualize your deep learning models
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❇️ Moving Zone Annotators 🚀
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❇️ 🔥Savant🔥 High-Performance Computer Vision Framework For Data Center And Edge
🕹 Python Computer Vision & Video Analytics Framework With Batteries Included
#topic
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❇️ 🔥 VisualTorch 🔥 aims to help visualize Torch-based neural network architectures.
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❇️ 🔥 VisualTorch 🔥 aims to help visualize Torch-based neural network architectures.
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❇️ KNOWLEDGE-CENTER Powered By LangChain, LlamaIndex, Streamlit, Chroma, Ollama
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❇️ Xinyue Z added a new feature so that multi-modal chat can now support annotating objects in images. We can use YOLO-8 World (You Only Look Once) of Ultralytics to implement a labeling method based on language prompts. By obtaining a description of the image via LLM, we extract categories supported by specific datasets like COCO, and ultimately obtain the labeling results. Example is a complete process of identifying objects in the uploaded image, using those objects to cook homemade fried noodles, and getting annotations of the detected objects.
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❇️ SpatialTracker: Tracking Any 2D Pixels in 3D Space
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❇️ Zone + count + heatmaps + speed Ultralytics ⚽️🔥
#YOLO
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❇️ AniClipart: Clipart Animation with
Text-to-Video Priors
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