ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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πŸ“ƒ Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction

πŸ“• Journal: Briefings in Bioinformatics(I.F=13.994)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’» Authors: Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S Yu, Xiangxiang Zeng
🏒 Universities:  Xiangtan University, Huazhong Agricultural University, Hunan University,

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πŸ“ From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

πŸ“•Journal: Molecular Biotechnology (I.F.=2.6)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’» Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏒 University: Manipal Institute of Technology, India

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πŸ”₯ Powerful LLM model for local use - Qwen 72B

Alibaba's LLM model was recently updated to version 72B after training on a staggering 3 trillion tokens of multilingual data.
This AI marvel can be run locally for complete control and privacy (and speed if you have a powerful GPU)

The image shows a comparison of the characteristics of Qwen 72B with Llama 70B, with GPT-3.5 and GPT-4

πŸ“Ž Translation of installation instructions
πŸ–₯ GitHub

βœ… https://t.me/DataScienceT
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πŸ“ƒ Multilayer Clustered Graph Learning

πŸ—“ Publish year: 2020

πŸ§‘β€πŸ’»Authors: Mireille El Gheche, Pascal Frossard
🏒 Universities:  Ecole Polytechnique FedΒ΄ erale de Lausanne (EPFL)

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βœ… https://t.me/DataScienceT
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πŸ“ƒSimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
🏒Universities: ENational University of Singapore, The Hong Kong University of Science and Technology

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πŸ’» Code

βœ… https://t.me/DataScienceT
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πŸͺ YOLO-CIANNA: Neural AstroπŸͺ

😏 CIANNA is a general-purpose deep learning framework for (but not only for) astronomical data analysis. Source Code released πŸ’™

πŸ‘‰ Review: https://t.ly/441XS

πŸ‘‰ Paper: arxiv.org/pdf/2402.05925.pdf

πŸ‘‰ Code: github.com/Deyht/CIANNA

πŸ‘‰ Wiki: github.com/Deyht/CIANNA/wiki

βœ… https://t.me/DataScienceT
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πŸ“ A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’» Authors: Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

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Taming Stable Diffusion for Text to 360Β° Panorama Image Generation

πŸ–₯ Github: https://github.com/chengzhag/panfusion

πŸ“• Paper: https://arxiv.org/abs/2404.07949v1

πŸ”₯ Dataset: https://chengzhag.github.io/publication/panfusion/

βœ… https://t.me/DataScienceT
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EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams

πŸ–₯ Github: https://github.com/Chris10M/EventEgo3D

πŸ“• Paper: https://arxiv.org/abs/2404.08640v1

πŸ”₯Dataset: https://paperswithcode.com/task/3d-human-pose-estimation
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Pixart-Sigma, the first high-quality, transformer-based image generation training framework!

πŸ–₯ Github: https://github.com/PixArt-alpha/PixArt-sigma

πŸ”₯Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
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ML Research Hub pinned Β«βœ… Good evening: We have launched an urgent donation campaign in order to continue our channels with the momentum you are accustomed to. Contribute if you think our work deserves thanks. πŸ₯‡ BTC: bc1qgjmr3ffh48jw5vw2tqad9useumutt5tql0pa6w πŸ’² USDT: TMzAr8AFc…»
✨ HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach

A new model for transferring a hairstyle from a reference image to a source photo for a virtual fitting room.

β–ͺ Paper : https://arxiv.org/abs/2404.01094

β–ͺ Code : https://github.com/AIRI-Institute/HairFastGAN

β–ͺ Colab : https://colab.research.google.com/#fileId=https%3A//huggingface.co/AIRI-Institute/HairFastGAN/blob/main/notebooks/HairFast_inference.ipynb

βœ… https://t.me/DataScienceT
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PC WINDOWS SHORTCUT KEYS & THEIR FUNCTIONS

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