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

Admin: @HusseinSheikho || @Hussein_Sheikho
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⚡️ StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control

Interactively generate images from scratch with detailed area control using text.

🧠 Code : https://github.com/ironjr/StreamMultiDiffusion

🧠 Paper : https://arxiv.org/abs/2403.09055

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📄 Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges

🔖Journal: ACS Omega (I.F.= 4.1)
📅 Publish year: 2024

🧑‍💻Authors: Manoj Kumar Goshisht
💐University: University of Wisconsin-Green Bay, USA

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📃 A review on graph neural networks for predicting synergistic drug combinations

📕 Journal:  Artificial Intelligence Review (I.F=12)
🗓 Publish year: 2024

🧑‍💻Authors: Milad Besharatifard, Fatemeh Vafaee
👌 University: University of New South Wales (UNSW), Sydney, Australia

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❤️ LaVague: automate automation with Large Action Model framework

Model for generating selenium noscripts to automate Internet surfing, actions on websites and parsing 🔥

🌸 Github: https://github.com/lavague-ai/LaVague

🌸 Docs: https://docs.lavague.ai/en/latest/docs/

🌸 Colab: https://colab.research.google.com/github/lavague-ai/LaVague/blob/main/docs/docs/get-started/quick-tour.ipynb

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🌐 𝗠𝗮𝗷𝗼𝗿 𝗧𝗢𝗠: 𝗣𝗹𝗮𝗻𝗲𝘁 𝗘𝗮𝗿𝘁𝗵 𝗶𝘀 𝗯̶𝗹̶𝘂̶𝗲̶ 𝟱.𝟰𝟬𝟱 𝗚𝗛𝘇

MajorTom-Core-S1RTC is a new satellite image standard and dataset that contains 1,469,955 images.

16 TB of radiometrically calibrated images.

HF: https://huggingface.co/Major-TOM
Github: https://github.com/ESA-PhiLab/Major-TOM/
Colab: https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb
Paper: https://www.arxiv.org/abs/2402.12095
MajorTOM-Core-Viewer: https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer

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⭐️ DBRX, a groundbreaking open-source Large Language Model (LLM) with a staggering 132 billion parameters.

Databricks has just introduced DBRX, a new open source large language (LM) model with a staggering 132 billion parameters.

The model outperforms all open models on most benchmarks.

Here's what you need to know 👇

• DBRX is a new free artificial intelligence model with 132 billion parameters.
•Can process up to 32,000 tokens simultaneously.
•Trained on 12 trillion tokens.
•Follow instructions exactly.
•Open source on GitHub.
•Integrated with HuggingFace.
•Optimized for NVIDIA systems.
•Advanced configuration with Docker support.

🟠 Github: https://github.com/databricks/dbrx

🟠 HF: https://huggingface.co/databricks/dbrx-base

🟠 Demo: https://huggingface.co/spaces/databricks/dbrx-instruct

🟠 Docs: https://docs.databricks.com/en/machine-learning/foundation-models/index.html

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🟠 DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

Microsoft presents DesignEd it!

This is an image editing method that allows you to remove objects, swap objects, move them, resize them, add and flip multiple objects, make panoramas and scale images, remove objects from images.

🟠 Github: https://github.com/design-edit/DesignEdit.git

🟠 Paper: https://arxiv.org/abs/2403.14487

🟠 Project: https://design-edit.github.io/

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🔥Unbounded 3D City Generation🔥

🏙️ CityDreamer 🏙️ compositional generative model for creating full-fledged 3D cities.

Project : https://infinitenoscript.com/project/city-dreamer/
Code : https://github.com/hzxie/CityDreamer
Demo : https://huggingface.co/spaces/hzxie/

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SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations

🖥 Github: https://github.com/divelab/AIRS

📕 Paper: https://arxiv.org/abs/2403.19507v1

🔥Project: www.air4.science/
Resources

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📃 Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey

🗓 Publish year: 2024

📱 Authors: Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, ...
🏠 University: Renmin University of China, University of Science and Technology of China, Microsoft Research

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📑 Ten simple rules for designing graphical abstracts

📕 Journal: Plos Computational Biology (I.F.=4.3)
🗓 Publish year: 2024

📱Authors: Helena Klara Jambor ,Martin Bornhäuser
🏡 University: Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Germany

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