2DMatGMM: An open-source robust machine learning platform for real-time detection and classification of 2D material flakes
🖥 Github: https://github.com/jaluus/2dmatgmm
📕 Paper: https://arxiv.org/abs/2412.09333v1
🌟 Dataset: https://paperswithcode.com/task/instance-segmentation
@ArtificialIntelligencedl
🌟 Dataset: https://paperswithcode.com/task/instance-segmentation
@ArtificialIntelligencedl
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⚡️ Byte Latent Transformer: Patches Scale Better Than Tokens
Byte Latent Transformer architecture (BLTs), a new byte-level LLM architecture that for the first time, matches tokenization-based LLM performance at scale, with significant improvements in inference efficiency and robustness.
🖥 Github: https://github.com/facebookresearch/blt
📕 Paper: https://arxiv.org/abs/2412.09871v1
🌟 Dataset: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
Byte Latent Transformer architecture (BLTs), a new byte-level LLM architecture that for the first time, matches tokenization-based LLM performance at scale, with significant improvements in inference efficiency and robustness.
🌟 Dataset: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
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🀄 GuoFeng Webnovel: A Discourse-Level and Multilingual Corpus of Web Fiction
🖥 Github: https://github.com/longyuewangdcu/guofeng-webnovel
📕 Paper: https://arxiv.org/abs/2412.11732v1
🌟 Dataset: www2.statmt.org/wmt24/literary-trans
@ArtificialIntelligencedl
🌟 Dataset: www2.statmt.org/wmt24/literary-trans
@ArtificialIntelligencedl
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Large Language Models Course: Learn by Doing LLM Projects
🖥 Github: https://github.com/peremartra/Large-Language-Model-Notebooks-Course
📕 Paper: https://doi.org/10.31219/osf.io/qgxea
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs
🖥 Github: https://github.com/zhouyiks/CoLVA/tree/main
📕 Paper: https://arxiv.org/pdf/2501.04670v1.pdf
🌟 Dataset: https://paperswithcode.com/dataset/bdd100k
@ArtificialIntelligencedl
🌟 Dataset: https://paperswithcode.com/dataset/bdd100k
@ArtificialIntelligencedl
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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
🖥 Github: https://github.com/opengvlab/piip
📕 Paper: https://arxiv.org/abs/2501.07783v1
🌟 Dataset: https://paperswithcode.com/dataset/gqa
@ArtificialIntelligencedl
🌟 Dataset: https://paperswithcode.com/dataset/gqa
@ArtificialIntelligencedl
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Continual Forgetting for Pre-trained Vision Models (CVPR2024)
🖥 Github: https://github.com/bjzhb666/GS-LoRA
📕 Paper: https://arxiv.org/abs/2501.09705v1
🧠 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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@ArtificialIntelligencedl
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⚡️Легкий способ получать свежие обновления и следить за трендами в разработке на вашем языке. Находите свой стек и подписывайтесь:
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Big Data: t.iss.one/bigdatai
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WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
🖥 Github: https://github.com/penfever/wildchat-50m
📕 Paper: https://arxiv.org/abs/2501.18511v1
🧠 Dataset: https://huggingface.co/collections/nyu-dice-lab/wildchat-50m-679a5df2c5967db8ab341ab7
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning
🖥 Github: https://github.com/chumingqian/CycleGuardian
📕 Paper: https://arxiv.org/abs/2502.00734v1
🌟 Dataset: https://paperswithcode.com/dataset/icbhi-respiratory-sound-database
@ArtificialIntelligencedl
🌟 Dataset: https://paperswithcode.com/dataset/icbhi-respiratory-sound-database
@ArtificialIntelligencedl
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🌟 Dataset: https://paperswithcode.com/task/image-relighting
@ArtificialIntelligencedl
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FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents
🖥 Github: https://github.com/benstaf/finrl_deepseek
📕 Paper: https://arxiv.org/abs/2502.08590v1
🌟 Colab: https://colab.research.google.com/github/benstaf/FinRL_DeepSeek/blob/main/FinRL_DeepSeek_backtest.ipynb
@ArtificialIntelligencedl
🌟 Colab: https://colab.research.google.com/github/benstaf/FinRL_DeepSeek/blob/main/FinRL_DeepSeek_backtest.ipynb
@ArtificialIntelligencedl
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Bayesian Sample Inference
🖥 Github: https://github.com/martenlienen/bsi
📕 Paper: https://arxiv.org/abs/2502.07580
🌟 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🌟 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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