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

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📃 Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction

📕 Journal: Briefings in Bioinformatics(I.F=13.994)
🗓 Publish year: 2023

🧑‍💻 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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📁 From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

📕Journal: Molecular Biotechnology (I.F.=2.6)
🗓 Publish year: 2024

🧑‍💻 Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏢 University: Manipal Institute of Technology, India

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🔥 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

📎 Translation of installation instructions
🖥 GitHub

https://news.1rj.ru/str/DataScienceT
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📃 Multilayer Clustered Graph Learning

🗓 Publish year: 2020

🧑‍💻Authors: Mireille El Gheche, Pascal Frossard
🏢 Universities:  Ecole Polytechnique Fed´ erale de Lausanne (EPFL)

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📃SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

🗓 Publish year: 2023

🧑‍💻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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💻 Code

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🪐 YOLO-CIANNA: Neural Astro🪐

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

👉 Review: https://t.ly/441XS

👉 Paper: arxiv.org/pdf/2402.05925.pdf

👉 Code: github.com/Deyht/CIANNA

👉 Wiki: github.com/Deyht/CIANNA/wiki

https://news.1rj.ru/str/DataScienceT
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📁 A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

🗓 Publish year: 2024

🧑‍💻 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 360° Panorama Image Generation

🖥 Github: https://github.com/chengzhag/panfusion

📕 Paper: https://arxiv.org/abs/2404.07949v1

🔥 Dataset: https://chengzhag.github.io/publication/panfusion/

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EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams

🖥 Github: https://github.com/Chris10M/EventEgo3D

📕 Paper: https://arxiv.org/abs/2404.08640v1

🔥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!

🖥 Github: https://github.com/PixArt-alpha/PixArt-sigma

🔥Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
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ML Research Hub pinned « 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. 🥇 BTC: bc1qgjmr3ffh48jw5vw2tqad9useumutt5tql0pa6w 💲 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.

Paper : https://arxiv.org/abs/2404.01094

Code : https://github.com/AIRI-Institute/HairFastGAN

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

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