Trending Papers

Automated daily tweets about the trending papers on

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I tweet the 10 top trending papers on https://t.co/pHoCsHa1Q5, daily.

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[10/10] 📈 - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,928 ⭐ - 📄 https://t.co/Ya3QXHqUqr - 🔗 https://t.co/8cKc6dkA6m

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[9/10] 📈 - LibFewShot: A Comprehensive Library for Few-shot Learning - 159 ⭐ - 📄 https://t.co/DMrIkPoYUY - 🔗 https://t.co/rPpR6ObbeI

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[8/10] 📈 - kornia - 4,906 ⭐ - 📄 https://t.co/qfrx4Yh9tK - 🔗 https://t.co/IsjVAOkIhp

[Trending Papers @PapersTrending]

[7/10] 📈 - Differentiable Data Augmentation with Kornia - 4,935 ⭐ - 📄 https://t.co/EbHPiXPBPs - 🔗 https://t.co/GhLWK3wYsi

[Trending Papers @PapersTrending]

[6/10] 📈 - River: machine learning for streaming data in Python - 2,275 ⭐ - 📄 https://t.co/zACxZg4MW4 - 🔗 https://t.co/uq44ps9PBK

[Trending Papers @PapersTrending]

[5/10] 📈 - Evaluating Large Language Models Trained on Code - 717 ⭐ - 📄 https://t.co/BNGbdMjljk - 🔗 https://t.co/6CgUPGR8kz

[Trending Papers @PapersTrending]

[4/10] 📈 - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 140 ⭐ - 📄 https://t.co/aVDetIKZdX - 🔗 https://t.co/YsxNAwu4Y5

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[3/10] 📈 - Instance-Conditioned GAN - 236 ⭐ - 📄 https://t.co/BcEBFBCsHn - 🔗 https://t.co/iByZcUIQ8c

[Trending Papers @PapersTrending]

[2/10] 📈 - Robust High-Resolution Video Matting with Temporal Guidance - 1,633 ⭐ - 📄 https://t.co/t7ukvLIbeP - 🔗 https://t.co/FdrmQK8qog

[Trending Papers @PapersTrending]

[1/10] 📈 - Merlion: A Machine Learning Library for Time Series - 369 ⭐ - 📄 https://t.co/8sxlI6dZhJ - 🔗 https://t.co/5tTLzFFLuG

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[10/10] 📈 - kornia - 4,791 ⭐ - 📄 https://t.co/qfrx4XZyCc - 🔗 https://t.co/IsjVAOCjFZ

[Trending Papers @PapersTrending]

[9/10] 📈 - Differentiable Data Augmentation with Kornia - 4,794 ⭐ - 📄 https://t.co/EbHPiXy0XU - 🔗 https://t.co/GhLWK3fnAK

[Trending Papers @PapersTrending]

[8/10] 📈 - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,874 ⭐ - 📄 https://t.co/Ya3QXHIvP1 - 🔗 https://t.co/8cKc6d2ZeO

[Trending Papers @PapersTrending]

[7/10] 📈 - LibFewShot: A Comprehensive Library for Few-shot Learning - 150 ⭐ - 📄 https://t.co/DMrIkPGAjy - 🔗 https://t.co/rPpR6OsMDi

[Trending Papers @PapersTrending]

[6/10] 📈 - PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering - 67 ⭐ - 📄 https://t.co/I80SM8C0QF - 🔗 https://t.co/4zLrAbduZB

[Trending Papers @PapersTrending]

[5/10] 📈 - Instance-Conditioned GAN - 163 ⭐ - 📄 https://t.co/BcEBFBU45X - 🔗 https://t.co/iByZcV0rwM

[Trending Papers @PapersTrending]

[4/10] 📈 - Robust High-Resolution Video Matting with Temporal Guidance - 1,225 ⭐ - 📄 https://t.co/t7ukvLqAnh - 🔗 https://t.co/FdrmQKq1MQ

[Trending Papers @PapersTrending]

[3/10] 📈 - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 139 ⭐ - 📄 https://t.co/aVDetItomp - 🔗 https://t.co/YsxNAwcu6x