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Model for generating selenium noscripts to automate Internet surfing, actions on websites and parsing
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H-SAM
🖥 Github: https://github.com/cccccczh404/h-sam
📕 Paper: https://arxiv.org/pdf/2403.18271v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/promise12
✅ Telegram: https://news.1rj.ru/str/DataScienceT
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MajorTom-Core-S1RTC is a new satellite image standard and dataset that contains 1,469,955 images.
16 TB of radiometrically calibrated images.
▪ HF: https://huggingface.co/Major-TOM
▪ Github: https://github.com/ESA-PhiLab/Major-TOM/
▪ Colab: https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb
▪ Paper: https://www.arxiv.org/abs/2402.12095
▪ MajorTOM-Core-Viewer: https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer
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Databricks has just introduced DBRX, a new open source large language (LM) model with a staggering 132 billion parameters.
The model outperforms all open models on most benchmarks.
Here's what you need to know
• DBRX is a new free artificial intelligence model with 132 billion parameters.
•Can process up to 32,000 tokens simultaneously.
•Trained on 12 trillion tokens.
•Follow instructions exactly.
•Open source on GitHub.
•Integrated with HuggingFace.
•Optimized for NVIDIA systems.
•Advanced configuration with Docker support.
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Microsoft presents DesignEd it!
This is an image editing method that allows you to remove objects, swap objects, move them, resize them, add and flip multiple objects, make panoramas and scale images, remove objects from images.
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🔥Unbounded 3D City Generation🔥
🏙️ CityDreamer 🏙️ compositional generative model for creating full-fledged 3D cities.
▪ Project : https://infinitenoscript.com/project/city-dreamer/
▪ Code : https://github.com/hzxie/CityDreamer
▪ Demo : https://huggingface.co/spaces/hzxie/
✅ Telegram: https://news.1rj.ru/str/DataScienceT
🏙️ CityDreamer 🏙️ compositional generative model for creating full-fledged 3D cities.
▪ Project : https://infinitenoscript.com/project/city-dreamer/
▪ Code : https://github.com/hzxie/CityDreamer
▪ Demo : https://huggingface.co/spaces/hzxie/
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SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
🖥 Github: https://github.com/divelab/AIRS
📕 Paper: https://arxiv.org/abs/2403.19507v1
🔥Project: www.air4.science/
Resources
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🔥Project: www.air4.science/
Resources
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📎 Study the paper
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