🏎 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

🫥 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

📃 A Guide for the Bioinformatic Analysis of Metabolomics Data

🗓 Publish year: 2024

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

📎 Study the paper

⚜️ Telegram: https://t.iss.one/DataScienceT

VTG-GPT

🖥 Github: https://github.com/YoucanBaby/VTG-GPT

📕 Paper: https://arxiv.org/pdf/2403.02076v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/activitynet-captions

✨ Tasks: https://paperswithcode.com/task/zero-shot-moment-retrieval

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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

📎 Study the paper

✅Telegram: https://t.iss.one/DataScienceT

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

✅ Telegram: https://t.iss.one/DataScienceT

📝 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/

✅ Telegram: https://t.iss.one/DataScienceT

🔥 Convolutional Reconstruction Model

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

🌸 Github
⚡️ Page
🍒 Paper

✅ Telegram: https://t.iss.one/DataScienceT

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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📄 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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🔥 Clarity-Upscaler: Open-Source 🔥 Open-Source 🔥

Clarity AI is a new upscale neural network that can significantly improve the resolution of images and add detail to them.

You can control the results yourself by specifying the desired description when starting the generator.

👍 code : https://github.com/philz1337x/clarity-upscaler

🟢 page : https://clarityai.cc

✅ Telegram: https://t.iss.one/DataScienceT