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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📁Machine Learning Techniques Applied to the Study of Drug Transporters

📕 Journal: Molecules (I.F.= 4.6)
📅 Publish year: 2023

🧑‍💻 Authors: Xiaorui Kong, Kexin Lin,Gaolei Wu
🤖 University: Department of Pharmacy, Dalian Medical University, China

📎 Study the paper

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Recall-Oriented-CL-Framework

⌨️ Github: https://github.com/bigdata-inha/recall-oriented-cl-framework

📕 Paper: https://arxiv.org/pdf/2403.03082v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cifar-10

Tasks: https://paperswithcode.com/task/continual-learning

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🏎 TripoSR: Fast 3D Object Reconstruction from a Single Image

A state-of-the-art open source model for fast 3D reconstruction from a single image.

The model produces high-quality 3D models in less than 0.5 seconds on the NVIDIA A100 GPU.

🟢 page: https://tripo3d.ai

🟢 paper : https://drive.google.com/file/d/1LWlZPT2aASi9jHiGVhDSr4YCTANoFW5t/view

🟢 code : https://github.com/VAST-AI-Research/TripoSR
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🫥 Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models

📕 Journal: International Journal of Molecular Sciences (I.F.= 5.6)
📅 Publish year: 2023

🧑‍💻 Authors: Tianwei Yue,Yuanxin Wang,Longxiang Zhang, ...
🟢 University: Carnegie Mellon University, & Johns Hopkins University, & Michigan State University, USA

📎 Study the paper 🫴:
https://www.mdpi.com/1422-0067/24/21/15858
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📃 A Guide for the Bioinformatic Analysis of Metabolomics Data

🗓 Publish year: 2024

🧑‍💻Authors: Guillem Santamaria and Francisco R Pinto
⭐️ University: University of Lisbon, Portugal

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☄️ Trends in using deep learning algorithms in biomedical prediction systems

➡️ Journal: Frontiers in Neuroscience (I.F.= 4.3)
🗓 Publish year: 2023

🧑‍💻 Authors: Yanbu Wang, Linqing Liu, Chao Wang
👀 University: Beijing Sport University-Peking University, Beijing, China

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ML Research Hub pinned «🟢 We present to you a list of our paid services: Paid Channel (Books): It includes a huge encyclopedia of free channels and a huge collection of important and rare books 💵 Price: 7$ - one time payment Paid channel (courses): includes a complete set…»
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

🖥 Github: https://github.com/hikvision-research/3dvision

📕 Paper: https://arxiv.org/abs/2403.05117v1

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

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📝 Progress and Opportunities of Foundation Models in Bioinformatics

🗓 Publish year: 2023

🧑‍💻Authors: Qing Li, Zhihang Hu, Yixuan Wang, ...
🏘 University: University of Hong Kong, Hong Kong SAR - ChinaBioMap, Beijing, China

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🪖 RT Humanoid from Head-Mounted Sensors 🪖

👉 #META (+CMU) announced SimXR, a method for controlling a simulated avatar from info obtained from AR/VR headsets

👉 Review: https://t.ly/Si2Mp

👉 Paper: arxiv.org/pdf/2403.06862.pdf

👉 Project: www.zhengyiluo.com/SimXR/

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🔥 Convolutional Reconstruction Model

A model for ultra-fast 3D image conversion using a convolutional reconstruction model.

🌸 Github
⚡️ Page
🍒 Paper

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ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions

🖥 Github: https://github.com/Traffic-X/ViT-CoMer

📕 Paper: https://arxiv.org/pdf/2403.07392.pdf

Tasks: https://paperswithcode.com/task/object-detection

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

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🚀 Pix2Gif: Motion-Guided Diffusion for GIF Generation

Microsoft has published a model for converting images to GIFs called Pix2Gif!

They claim that the model is the best at understanding and generating motion, although we're not talking Sora level, it's certainly a step up from the slow motion results we're used to.

😵‍💫 Github
🇸🇾 Page
⚙️ Paper
🔥 Demo

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📄 A review of deep learning methods for ligand based drug virtual screening

📕 Journal: Fundamental Research (I.F.= 6.2)
🗓 Publish year: 2024

🧑‍💻Authors: Hongjie Wu, Junkai Liu, Runhua Zhang, Yaoyao Lu
🏠 University: Suzhou University of Science and Technology - University of Electronic Science and Technology of China, China

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Scattered Mixture-of-Experts Implementation

🖥 Github: https://github.com/shawntan/scattermoe

📕 Paper: https://arxiv.org/abs/2403.08245v1

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