🐼 Pandas on Steroids: End to End Data Science in Python with Dask
https://www.kdnuggets.com/2020/11/pandas-steroids-dask-python-data-science.html
How to Work with BIG Datasets : https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask
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https://www.kdnuggets.com/2020/11/pandas-steroids-dask-python-data-science.html
How to Work with BIG Datasets : https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask
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KDnuggets
Pandas on Steroids: End to End Data Science in Python with Dask - KDnuggets
End to end parallelized data science from reading big data to data manipulation to visualisation to machine learning.
Deep Multimodal Fusion by Channel Exchanging
Github: https://github.com/yikaiw/CEN
Dataset: https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
Paper: https://arxiv.org/abs/2011.05005
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Github: https://github.com/yikaiw/CEN
Dataset: https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
Paper: https://arxiv.org/abs/2011.05005
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GitHub
GitHub - yikaiw/CEN: [TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging" - yikaiw/CEN
Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Github: https://github.com/Z-Zheng/FreeNet
Paper: https://ieeexplore.ieee.org/document/9007624
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Github: https://github.com/Z-Zheng/FreeNet
Paper: https://ieeexplore.ieee.org/document/9007624
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Tensorflow + dalex, or how to explain a TensorFlow model
Article: https://www.kdnuggets.com/2020/11/dalex-explain-tensorflow-model.html
Code: https://dalex.drwhy.ai/python-dalex-tensorflow.html
Explanatory Model Analysis: https://pbiecek.github.io/ema/
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Article: https://www.kdnuggets.com/2020/11/dalex-explain-tensorflow-model.html
Code: https://dalex.drwhy.ai/python-dalex-tensorflow.html
Explanatory Model Analysis: https://pbiecek.github.io/ema/
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Text classification with an RNN | TensorFlow Core
https://www.tensorflow.org/tutorials/text/text_classification_rnn
Code: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/text/text_classification_rnn.ipynb
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https://www.tensorflow.org/tutorials/text/text_classification_rnn
Code: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/text/text_classification_rnn.ipynb
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TensorFlow
Text classification with an RNN | TensorFlow
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🎨 Stylized Neural Painting.
https://jiupinjia.github.io/neuralpainter/
Github: https://github.com/jiupinjia/stylized-neural-painting
Paper: https://arxiv.org/abs/2011.08114
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https://jiupinjia.github.io/neuralpainter/
Github: https://github.com/jiupinjia/stylized-neural-painting
Paper: https://arxiv.org/abs/2011.08114
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Learning Efficient GANs using Differentiable Masks and Co-Attention Distillation
Github: https://github.com/SJLeo/DMAD
Paper: https://arxiv.org/abs/2011.08382
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Github: https://github.com/SJLeo/DMAD
Paper: https://arxiv.org/abs/2011.08382
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Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis.
https://www.impersonator.org/work/impersonator-plus-plus.html
Code: https://github.com/iPERDance/iPERCore
Paper: https://arxiv.org/pdf/2011.09055
Dataset: https://svip-lab.github.io/dataset/iPER_dataset.html
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https://www.impersonator.org/work/impersonator-plus-plus.html
Code: https://github.com/iPERDance/iPERCore
Paper: https://arxiv.org/pdf/2011.09055
Dataset: https://svip-lab.github.io/dataset/iPER_dataset.html
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Forwarded from Artificial Intelligence
Adversarial Examples in Deep Learning.
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
@ArtificialIntelligencedl
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
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TJU-DHD dataset (object detection and pedestrian detection)
Github: https://github.com/tjubiit/TJU-DHD
Paper: https://arxiv.org/abs/2011.09170v1
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Github: https://github.com/tjubiit/TJU-DHD
Paper: https://arxiv.org/abs/2011.09170v1
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FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Github: https://github.com/AI4Finance-LLC/FinRL-Library
Paper: https://arxiv.org/abs/2011.09607
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Github: https://github.com/AI4Finance-LLC/FinRL-Library
Paper: https://arxiv.org/abs/2011.09607
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Computer Vision at Scale With Dask And PyTorch
https://www.saturncloud.io/s/computer-vision-at-scale-with-dask-and-pytorch/
Code: https://github.com/saturncloud/saturn-cloud-examples/tree/main/pytorch-demo
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https://www.saturncloud.io/s/computer-vision-at-scale-with-dask-and-pytorch/
Code: https://github.com/saturncloud/saturn-cloud-examples/tree/main/pytorch-demo
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saturncloud.io
Computer Vision at Scale With Dask and PyTorch | Saturn Cloud Blog
This tutorial walks through how to use PyTorch and Dask to train an image recognition model across a GPU cluster.
Object Detection Using Mask R-CNN with TensorFlow 2.0 and Keras.
https://blog.paperspace.com/mask-r-cnn-tensorflow-2-0-keras/
Mask_RCNN project: https://github.com/matterport/Mask_RCNN
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https://blog.paperspace.com/mask-r-cnn-tensorflow-2-0-keras/
Mask_RCNN project: https://github.com/matterport/Mask_RCNN
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Essential Math for Data Science: Integrals And Area Under The Curve
https://hadrienj.github.io/posts/Essential-Math-Integrals/
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https://hadrienj.github.io/posts/Essential-Math-Integrals/
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TFX Estimator Component Tutorial | TensorFlow
https://www.tensorflow.org/tfx/tutorials/tfx/components
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https://www.tensorflow.org/tfx/tutorials/tfx/components
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TensorFlow
TFX Estimator Component Tutorial | TensorFlow
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Github: https://github.com/PeizeSun/SparseR-CNN
Paper: https://arxiv.org/abs/2011.12450
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Github: https://github.com/PeizeSun/SparseR-CNN
Paper: https://arxiv.org/abs/2011.12450
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PyTorch Static Quantization.
https://leimao.github.io/blog/PyTorch-Static-Quantization/
Code: https://github.com/leimao/PyTorch-Static-Quantization
Quantization for Neural Networks: https://leimao.github.io/article/Neural-Networks-Quantization/
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https://leimao.github.io/blog/PyTorch-Static-Quantization/
Code: https://github.com/leimao/PyTorch-Static-Quantization
Quantization for Neural Networks: https://leimao.github.io/article/Neural-Networks-Quantization/
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All Machine Learning Algorithms with Python
https://thecleverprogrammer.com/2020/11/27/machine-learning-algorithms-with-python/
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https://thecleverprogrammer.com/2020/11/27/machine-learning-algorithms-with-python/
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Deep & Cross Network (DCN).
https://www.tensorflow.org/recommenders/examples/dcn
Code: https://github.com/tensorflow/recommenders/blob/main/docs/examples/dcn.ipynb
TensorFlow Recommenders: Scalable retrieval and feature interaction modelling: https://blog.tensorflow.org/2020/11/tensorflow-recommenders-scalable-retrieval-feature-interaction-modelling.html
Paper: https://arxiv.org/pdf/2008.13535.pdf
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https://www.tensorflow.org/recommenders/examples/dcn
Code: https://github.com/tensorflow/recommenders/blob/main/docs/examples/dcn.ipynb
TensorFlow Recommenders: Scalable retrieval and feature interaction modelling: https://blog.tensorflow.org/2020/11/tensorflow-recommenders-scalable-retrieval-feature-interaction-modelling.html
Paper: https://arxiv.org/pdf/2008.13535.pdf
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Learning to Summarize from Human Feedback
Github: https://github.com/openai/summarize-from-feedback
Dataset: https://openaipublic.blob.core.windows.net/summarize-from-feedback/website/index.html#/
Paper: https://proceedings.neurips.cc//paper/2020/file/1f89885d556929e98d3ef9b86448f951-Paper.pdf
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Github: https://github.com/openai/summarize-from-feedback
Dataset: https://openaipublic.blob.core.windows.net/summarize-from-feedback/website/index.html#/
Paper: https://proceedings.neurips.cc//paper/2020/file/1f89885d556929e98d3ef9b86448f951-Paper.pdf
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