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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://news.1rj.ru/str/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://news.1rj.ru/str/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

📎 Study the paper

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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://news.1rj.ru/str/DataScienceT

🔥 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

✅ Telegram: https://news.1rj.ru/str/DataScienceT

📄 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

📎 Study the paper

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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 denoscription when starting the generator.

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

🟢 page : https://clarityai.cc

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Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

🖥 Github: https://github.com/opengvlab/video-mamba-suite

📕 Paper: https://arxiv.org/abs/2403.09626v1

❤️‍🔥 Dataset: https://paperswithcode.com/dataset/egoschema

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😏 Grok-1 LLM from Elon Musk.

Grok-1 is a mixture of 314B size experts trained from scratch by xAI.

License: Apache 2.0

Grok-1 weights available on Brazzer

😻 Model : https://dagshub.com/xai/grok-1
👻 Page : https://x.ai/blog/grok-os
🫨 Code : https://github.com/xai-org/grok-1
😭 Hugging face: https://huggingface.co/xai-org/grok-1

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🟢 MeloTTS is a high-quality multi-lingual text-to-speech library

Mellott is one of the best open source text-to-speech libraries that supports multiple languages.

🟢 Github
🟢 Project
🟢 Docs

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