Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

🖥 Github: https://github.com/935963004/labram

📕Paper: https://arxiv.org/abs/2405.18765v1

@ArtificialIntelligencedl
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InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation

🖥 Github: https://github.com/jacobyhsi/InterpreTabNet

📕Paper: https://arxiv.org/abs/2406.00426v1

@ArtificialIntelligencedl
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🚀 AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

🖥 Github: https://github.com/woooodyy/agentgym

📕 Paper: https://arxiv.org/abs/2406.04151v1

🔥Project: https://agentgym.github.io/

⚡️Model (AgentEvol-7B): https://huggingface.co/AgentGym/AgentEvol-7B

@ArtificialIntelligencedl
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🚀 Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset


🖥 Github: https://github.com/liamlian0727/usis10k

📕Paper: https://arxiv.org/abs/2406.06039v1

@ArtificialIntelligencedl
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LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments

🖥 Github: https://github.com/bigai-nlco/langsuite

📕 Paper: https://arxiv.org/abs/2406.16294v1

🔥Dataset: https://paperswithcode.com/dataset/ai2-thor

@ArtificialIntelligencedl
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Point-SAM: Promptable 3D Segmentation Model for Point Clouds

🖥 Github: https://github.com/zyc00/point-sam

📕 Paper: https://arxiv.org/abs/2406.17741v1

🔥Dataset: https://paperswithcode.com/dataset/shapenet

@ArtificialIntelligencedl
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🏥 MedMNIST-C: benchmark dataset based on the MedMNIST+ collection covering 12 2D datasets and 9 imaging modalities.

pip install medmnistc

🖥 Github: https://github.com/francescodisalvo05/medmnistc-api

📕 Paper: https://arxiv.org/abs/2406.17536v2

🔥Dataset: https://paperswithcode.com/dataset/imagenet-c

@ArtificialIntelligencedl
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New open model alert by Shanghai AI Laboratory 🚨

Welcome Internal 2.5
🔥Very high quality 7B model
🚀Up to 1 million context window
🔧Tool usage capabilities

Looking forward to playing with it

https://huggingface.co/collections/internlm/internlm25-66853f32717072d17581bc13

@ArtificialIntelligencedl
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Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling

🖥 Github: https://github.com/linghuyuhangyuan/m2s

📕 Paper: https://arxiv.org/abs/2407.05875v1

🔥Dataset: https://paperswithcode.com/task/denoising
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Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation (ECCV 2024)

🖥 Github: https://github.com/fanghaook/ovformer

📕 Paper: https://arxiv.org/abs/2407.07427v1

@ArtificialIntelligencedl
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Multimodal contrastive learning for spatial gene expression prediction using histology images

🖥 Github: https://github.com/shizhiceng/mclstexp

📕 Paper: https://arxiv.org/abs/2407.08216v1

🔥Dataset: https://doi.org/10.48610/4fb74a9.

@ArtificialIntelligencedl
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Multimodal contrastive learning for spatial gene expression prediction using histology images

🖥 Github: https://github.com/modelscope/data-juicer

📕 Paper: https://arxiv.org/abs/2407.08583v1

🚀 Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl
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