Data Science | Machine Learning with Python for Researchers
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The Data Science and Python channel is for researchers and advanced programmers

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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://t.iss.one/DataScienceT
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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://t.iss.one/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://t.iss.one/DataScienceT
🔥 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://t.iss.one/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://t.iss.one/DataScienceT
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