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Automated daily tweets about the trending papers on https://nitter.gq/t.co/VA90m7MFSd

Joined May 2019
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I tweet the 10 top trending papers on paperswithcode.com, daily.
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[10/10] πŸ“ˆ - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,928 ⭐ - πŸ“„ arxiv.org/pdf/2107.10833v2.p… - πŸ”— github.com/xinntao/Real-ESRG…
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[9/10] πŸ“ˆ - LibFewShot: A Comprehensive Library for Few-shot Learning - 159 ⭐ - πŸ“„ arxiv.org/pdf/2109.04898v1.p… - πŸ”— github.com/rl-vig/libfewshot
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[7/10] πŸ“ˆ - Differentiable Data Augmentation with Kornia - 4,935 ⭐ - πŸ“„ arxiv.org/pdf/2011.09832v1.p… - πŸ”— github.com/arraiyopensource/…
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[6/10] πŸ“ˆ - River: machine learning for streaming data in Python - 2,275 ⭐ - πŸ“„ arxiv.org/pdf/2012.04740v1.p… - πŸ”— github.com/online-ml/river
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[5/10] πŸ“ˆ - Evaluating Large Language Models Trained on Code - 717 ⭐ - πŸ“„ arxiv.org/pdf/2107.03374v2.p… - πŸ”— github.com/openai/human-eval
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[4/10] πŸ“ˆ - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 140 ⭐ - πŸ“„ arxiv.org/pdf/2109.05217v1.p… - πŸ”— github.com/nttcslab/japanese…
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[3/10] πŸ“ˆ - Instance-Conditioned GAN - 236 ⭐ - πŸ“„ arxiv.org/pdf/2109.05070v1.p… - πŸ”— github.com/facebookresearch/…
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[2/10] πŸ“ˆ - Robust High-Resolution Video Matting with Temporal Guidance - 1,633 ⭐ - πŸ“„ arxiv.org/pdf/2108.11515v1.p… - πŸ”— github.com/PeterL1n/RobustVi…
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[1/10] πŸ“ˆ - Merlion: A Machine Learning Library for Time Series - 369 ⭐ - πŸ“„ arxiv.org/pdf/2109.09265v1.p… - πŸ”— github.com/salesforce/merlio…
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[9/10] πŸ“ˆ - Differentiable Data Augmentation with Kornia - 4,794 ⭐ - πŸ“„ arxiv.org/pdf/2011.09832v1.p… - πŸ”— github.com/arraiyopensource/…
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[8/10] πŸ“ˆ - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,874 ⭐ - πŸ“„ arxiv.org/pdf/2107.10833v2.p… - πŸ”— github.com/xinntao/Real-ESRG…
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[7/10] πŸ“ˆ - LibFewShot: A Comprehensive Library for Few-shot Learning - 150 ⭐ - πŸ“„ arxiv.org/pdf/2109.04898v1.p… - πŸ”— github.com/rl-vig/libfewshot
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[6/10] πŸ“ˆ - PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering - 67 ⭐ - πŸ“„ arxiv.org/pdf/2109.08379v1.p… - πŸ”— github.com/renyurui/pirender
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[5/10] πŸ“ˆ - Instance-Conditioned GAN - 163 ⭐ - πŸ“„ arxiv.org/pdf/2109.05070v1.p… - πŸ”— github.com/facebookresearch/…
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[4/10] πŸ“ˆ - Robust High-Resolution Video Matting with Temporal Guidance - 1,225 ⭐ - πŸ“„ arxiv.org/pdf/2108.11515v1.p… - πŸ”— github.com/PeterL1n/RobustVi…
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[3/10] πŸ“ˆ - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 139 ⭐ - πŸ“„ arxiv.org/pdf/2109.05217v1.p… - πŸ”— github.com/nttcslab/japanese…
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[2/10] πŸ“ˆ - Evaluating Large Language Models Trained on Code - 689 ⭐ - πŸ“„ arxiv.org/pdf/2107.03374v2.p… - πŸ”— github.com/openai/human-eval
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