Linking pages
Linked pages
- GitHub - matterport/Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow https://github.com/matterport/Mask_RCNN 63 comments
- GitHub - rapidsai/cudf: cuDF - GPU DataFrame Library https://github.com/rapidsai/cudf 32 comments
- 2018 Data Science Bowl | Kaggle https://www.kaggle.com/c/data-science-bowl-2018 15 comments
- Data Science Bowl 2017 | Kaggle https://www.kaggle.com/c/data-science-bowl-2017 11 comments
- Downloadable data - The Human Protein Atlas https://www.proteinatlas.org/about/download 11 comments
- [1505.04597] U-Net: Convolutional Networks for Biomedical Image Segmentation https://arxiv.org/abs/1505.04597 8 comments
- GitHub - fizyr/keras-retinanet: Keras implementation of RetinaNet object detection. https://github.com/fizyr/keras-retinanet 5 comments
- A Gentle Introduction to k-fold Cross-Validation - MachineLearningMastery.com https://machinelearningmastery.com/k-fold-cross-validation/ 5 comments
- [1711.06396] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection https://arxiv.org/abs/1711.06396 4 comments
- Google AI Blog: Improving Inception and Image Classification in TensorFlow https://research.googleblog.com/2016/08/improving-inception-and-image.html 1 comment
- [1712.00559] Progressive Neural Architecture Search https://arxiv.org/abs/1712.00559 0 comments
- Airbus Ship Detection Challenge | Kaggle https://www.kaggle.com/c/airbus-ship-detection 0 comments
- LIDC-IDRI - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki http://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI 0 comments
- [1707.07012] Learning Transferable Architectures for Scalable Image Recognition https://arxiv.org/abs/1707.07012 0 comments
- scikit-image: Image processing in Python — scikit-image http://scikit-image.org/ 0 comments
- GitHub - albumentations-team/albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 https://github.com/albu/albumentations 0 comments
- [1602.07261] Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning http://arxiv.org/abs/1602.07261 0 comments
- [1908.02990] Fast Point R-CNN https://arxiv.org/abs/1908.02990 0 comments
- 2nd place solution for the 2017 national datascience bowl – Julian de Wit – Freelance software/machine learning engineer. http://juliandewit.github.io/kaggle-ndsb2017/ 0 comments
- A Quick Introduction to the “Pandas” Python Library | by Adi Bronshtein | Towards Data Science https://towardsdatascience.com/a-quick-introduction-to-the-pandas-python-library-f1b678f34673 0 comments
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