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I tweet the 10 top trending papers on paperswithcode.com, daily.
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[10/10] π - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,928 β - π arxiv.org/pdf/2107.10833v2.pβ¦ - π github.com/xinntao/Real-ESRGβ¦
[9/10] π - LibFewShot: A Comprehensive Library for Few-shot Learning - 159 β - π arxiv.org/pdf/2109.04898v1.pβ¦ - π github.com/rl-vig/libfewshot
[8/10] π - kornia - 4,906 β - π arxiv.org/pdf/2010.11929v2.pβ¦ - π github.com/google-research/vβ¦
[7/10] π - Differentiable Data Augmentation with Kornia - 4,935 β - π arxiv.org/pdf/2011.09832v1.pβ¦ - π github.com/arraiyopensource/β¦
[6/10] π - River: machine learning for streaming data in Python - 2,275 β - π arxiv.org/pdf/2012.04740v1.pβ¦ - π github.com/online-ml/river
[5/10] π - Evaluating Large Language Models Trained on Code - 717 β - π arxiv.org/pdf/2107.03374v2.pβ¦ - π github.com/openai/human-eval
[4/10] π - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 140 β - π arxiv.org/pdf/2109.05217v1.pβ¦ - π github.com/nttcslab/japaneseβ¦
[3/10] π - Instance-Conditioned GAN - 236 β - π arxiv.org/pdf/2109.05070v1.pβ¦ - π github.com/facebookresearch/β¦
[2/10] π - Robust High-Resolution Video Matting with Temporal Guidance - 1,633 β - π arxiv.org/pdf/2108.11515v1.pβ¦ - π github.com/PeterL1n/RobustViβ¦
[1/10] π - Merlion: A Machine Learning Library for Time Series - 369 β - π arxiv.org/pdf/2109.09265v1.pβ¦ - π github.com/salesforce/merlioβ¦
[10/10] π - kornia - 4,791 β - π arxiv.org/pdf/2010.11929v2.pβ¦ - π github.com/google-research/vβ¦
[9/10] π - Differentiable Data Augmentation with Kornia - 4,794 β - π arxiv.org/pdf/2011.09832v1.pβ¦ - π github.com/arraiyopensource/β¦
[8/10] π - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data - 2,874 β - π arxiv.org/pdf/2107.10833v2.pβ¦ - π github.com/xinntao/Real-ESRGβ¦
[7/10] π - LibFewShot: A Comprehensive Library for Few-shot Learning - 150 β - π arxiv.org/pdf/2109.04898v1.pβ¦ - π github.com/rl-vig/libfewshot
[6/10] π - PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering - 67 β - π arxiv.org/pdf/2109.08379v1.pβ¦ - π github.com/renyurui/pirender
[5/10] π - Instance-Conditioned GAN - 163 β - π arxiv.org/pdf/2109.05070v1.pβ¦ - π github.com/facebookresearch/β¦
[4/10] π - Robust High-Resolution Video Matting with Temporal Guidance - 1,225 β - π arxiv.org/pdf/2108.11515v1.pβ¦ - π github.com/PeterL1n/RobustViβ¦
[3/10] π - Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems - 139 β - π arxiv.org/pdf/2109.05217v1.pβ¦ - π github.com/nttcslab/japaneseβ¦
[2/10] π - Evaluating Large Language Models Trained on Code - 689 β - π arxiv.org/pdf/2107.03374v2.pβ¦ - π github.com/openai/human-eval
