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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Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

🖥 Github: https://github.com/jaearly/miltimeseriesclassification

📕 Paper: https://arxiv.org/pdf/2311.10049v1.pdf

Tasks: https://paperswithcode.com/task/decision-making

https://news.1rj.ru/str/DataScienceT
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SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

🖥 Github: https://github.com/OpenGVLab/SAM-Med2D

🖥 Colab: https://colab.research.google.com/github/OpenGVLab/SAM-Med2D/blob/main/predictor_example.ipynb

📕 Paper: https://arxiv.org/abs/2311.11969v1

⭐️ Dataset: https://arxiv.org/abs/2311.11969
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🔥 flowty-realtime-lcm-canvas

A realtime sketch to image demo using LCM and the gradio library.

Source: https://github.com/flowtyone/flowty-realtime-lcm-canvas

👌 https://news.1rj.ru/str/CodeProgrammer

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🗣 HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation by Hierarchical Variational Inference for Zero-shot Speech Synthesis

🖥 Code: https://github.com/sh-lee-prml/hierspeechpp

🦾 Checkpoint: https://drive.google.com/drive/folders/1-L_90BlCkbPyKWWHTUjt5Fsu3kz0du0w?usp=sharing

⚡️ Demo: https://sh-lee-prml.github.io/HierSpeechpp-demo/

📚 Paper: https://arxiv.org/abs/2311.12454v1

🔗 Dataset: https://paperswithcode.com/dataset/libri-light

https://news.1rj.ru/str/DataScienceT
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🔥 Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models.

🖥 Code: https://github.com/archerfmy/sd-t2i-360panoimage

📚 Paper: https://arxiv.org/abs/2311.13141v1

🔗 Dataset: https://paperswithcode.com/dataset/sun360

https://news.1rj.ru/str/DataScienceT
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🎮 Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

🖥 Code: https://github.com/yule-BUAA/MergeLM

📚 Paper: https://arxiv.org/abs/2311.03099

🔗 Dataset: https://paperswithcode.com/task/instruction-following

https://news.1rj.ru/str/DataScienceT
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🦾 StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

🖥 Github: https://github.com/yl4579/StyleTTS2

🔥Colab: https://colab.research.google.com/github/yl4579/StyleTTS2/blob/main/

⚡️ Demo: https://huggingface.co/spaces/styletts2/styletts2

📚 Paper: https://arxiv.org/abs/2306.07691

🌟 Demo: https://seamless.metademolab.com/expressive

🥩 Page: styletts2.github.io
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