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SOLD² - Self-supervised Occlusion-aware Line Description and Detection
Github: https://github.com/cvg/SOLD2
Paper: https://arxiv.org/abs/2104.03362
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Github: https://github.com/cvg/SOLD2
Paper: https://arxiv.org/abs/2104.03362
@ArtificialIntelligencedl
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Github: https://github.com/speechbrain/speechbrain/tree/develop/recipes/Voicebank/enhance/MetricGAN
Paper: https://arxiv.org/abs/1905.04874
@ArtificialIntelligencedl
Github: https://github.com/speechbrain/speechbrain/tree/develop/recipes/Voicebank/enhance/MetricGAN
Paper: https://arxiv.org/abs/1905.04874
@ArtificialIntelligencedl
🔥1
AutoGL: A Library for Automated Graph Learning
Github: https://github.com/THUMNLab/AutoGL
Paper: https://arxiv.org/abs/2104.04987v1
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Github: https://github.com/THUMNLab/AutoGL
Paper: https://arxiv.org/abs/2104.04987v1
@ArtificialIntelligencedl
Compact Transformers
Github: https://github.com/SHI-Labs/Compact-Transformers
Paper: https://arxiv.org/abs/2104.05704
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Github: https://github.com/SHI-Labs/Compact-Transformers
Paper: https://arxiv.org/abs/2104.05704
@ArtificialIntelligencedl
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Shape and Material Capture at Home, CVPR 2021
Github: https://github.com/dlichy/ShapeAndMaterial
Paper: https://arxiv.org/abs/2104.06397v1
@ArtificialIntelligencedl
Github: https://github.com/dlichy/ShapeAndMaterial
Paper: https://arxiv.org/abs/2104.06397v1
@ArtificialIntelligencedl
How To Code RNN And LSTM Neural Networks In Python
https://www.nbshare.io/notebook/249468051/How-To-Code-RNN-and-LSTM-Neural-Networks-in-Python/
@ArtificialIntelligencedl
https://www.nbshare.io/notebook/249468051/How-To-Code-RNN-and-LSTM-Neural-Networks-in-Python/
@ArtificialIntelligencedl
Generating Cats with StyleGAN on AWS SageMaker
https://devopstar.com/2019/02/25/generating-cats-with-stylegan-on-aws-sagemaker
Code: https://github.com/t04glovern/stylegan
@ArtificialIntelligencedl
https://devopstar.com/2019/02/25/generating-cats-with-stylegan-on-aws-sagemaker
Code: https://github.com/t04glovern/stylegan
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AI predicts effective drug combinations to fight complex diseases faster
https://ai.facebook.com/blog/ai-predicts-effective-drug-combinations-to-fight-complex-diseases-faster/
Github: https://github.com/facebookresearch/CPA
Paper: https://www.biorxiv.org/content/10.1101/2021.04.14.439903v1
@ArtificialIntelligencedl
https://ai.facebook.com/blog/ai-predicts-effective-drug-combinations-to-fight-complex-diseases-faster/
Github: https://github.com/facebookresearch/CPA
Paper: https://www.biorxiv.org/content/10.1101/2021.04.14.439903v1
@ArtificialIntelligencedl
Essential Math for Data Science: Linear Transformation with Matrices
https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-linear_transformations/
@ArtificialIntelligencedl
https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-linear_transformations/
@ArtificialIntelligencedl
🐙 OCTIS : Optimizing and Comparing Topic Models is Simple!
Github: https://github.com/mind-Lab/octis
Paper: https://www.aclweb.org/anthology/2021.eacl-demos.31/
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Github: https://github.com/mind-Lab/octis
Paper: https://www.aclweb.org/anthology/2021.eacl-demos.31/
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GitHub
GitHub - MIND-Lab/OCTIS: OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted…
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track) - MIND-Lab/OCTIS
DomainBed is a PyTorch suite containing benchmark datasets and algorithms for domain generalization
Github: https://github.com/facebookresearch/DomainBed
Paper: https://arxiv.org/abs/2104.09937v1
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Github: https://github.com/facebookresearch/DomainBed
Paper: https://arxiv.org/abs/2104.09937v1
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GitHub
GitHub - facebookresearch/DomainBed: DomainBed is a suite to test domain generalization algorithms
DomainBed is a suite to test domain generalization algorithms - facebookresearch/DomainBed
Forwarded from TensorFlow
Evolving Reinforcement Learning Algorithms
https://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html
@tensorflowblog
https://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html
@tensorflowblog
research.google
Evolving Reinforcement Learning Algorithms
Posted by John D. Co-Reyes, Research Intern and Yingjie Miao, Senior Software Engineer, Google Research A long-term, overarching goal of research i...
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Github: https://github.com/W-zx-Y/DANNet
Paper: https://arxiv.org/abs/2104.10834
@ArtificialIntelligencedl
Github: https://github.com/W-zx-Y/DANNet
Paper: https://arxiv.org/abs/2104.10834
@ArtificialIntelligencedl
NISQA: Speech Quality and Naturalness Assessment
Github: https://github.com/gabrielmittag/NISQA
Paper: https://arxiv.org/abs/2104.11673v1
@ArtificialIntelligencedl
Github: https://github.com/gabrielmittag/NISQA
Paper: https://arxiv.org/abs/2104.11673v1
@ArtificialIntelligencedl
GitHub
GitHub - gabrielmittag/NISQA: NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment - gabrielmittag/NISQA
MDETR: Modulated Detection for End-to-End Multi-Modal Understanding
Github: https://github.com/ashkamath/mdetr
Paper: https://arxiv.org/abs/2104.12763
Colab: https://colab.research.google.com/github/ashkamath/mdetr/blob/colab/notebooks/MDETR_demo.ipynb
@ArtificialIntelligencedl
Github: https://github.com/ashkamath/mdetr
Paper: https://arxiv.org/abs/2104.12763
Colab: https://colab.research.google.com/github/ashkamath/mdetr/blob/colab/notebooks/MDETR_demo.ipynb
@ArtificialIntelligencedl
MMEditing is an open source image and video editing toolbox based on PyTorch.
Github: https://github.com/open-mmlab/mmediting
Docs: https://mmediting.readthedocs.io/en/latest/
Paper: https://arxiv.org/abs/2104.13371v1
@ArtificialIntelligencedl
Github: https://github.com/open-mmlab/mmediting
Docs: https://mmediting.readthedocs.io/en/latest/
Paper: https://arxiv.org/abs/2104.13371v1
@ArtificialIntelligencedl
PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.
Github: https://github.com/manujosephv/pytorch_tabular
Paper: https://arxiv.org/abs/2104.13638v1
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Github: https://github.com/manujosephv/pytorch_tabular
Paper: https://arxiv.org/abs/2104.13638v1
@ArtificialIntelligencedl
Boosting Co-teaching with Compression Regularization for Label Noise
Github: https://github.com/yingyichen-cyy/Nested-Co-teaching
Paper: https://arxiv.org/abs/2104.13766v1
@ArtificialIntelligencedl
Github: https://github.com/yingyichen-cyy/Nested-Co-teaching
Paper: https://arxiv.org/abs/2104.13766v1
@ArtificialIntelligencedl
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LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
Github: https://github.com/researchmm/LightTrack
Paper: https://arxiv.org/abs/2104.14545v1
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Github: https://github.com/researchmm/LightTrack
Paper: https://arxiv.org/abs/2104.14545v1
@ArtificialIntelligencedl
Few-Shot Video Object Detection
Github: https://github.com/fanq15/FewX
Paper: https://arxiv.org/abs/2104.14805v1
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Github: https://github.com/fanq15/FewX
Paper: https://arxiv.org/abs/2104.14805v1
@ArtificialIntelligencedl