Building a Content-Based Book Recommendation Engine
https://www.kdnuggets.com/2020/07/building-content-based-book-recommendation-engine.html
Content-Based Recommendation System using Word Embeddings: https://medium.com/towards-artificial-intelligence/content-based-recommendation-system-using-word-embeddings-c1c15de1ef95
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https://www.kdnuggets.com/2020/07/building-content-based-book-recommendation-engine.html
Content-Based Recommendation System using Word Embeddings: https://medium.com/towards-artificial-intelligence/content-based-recommendation-system-using-word-embeddings-c1c15de1ef95
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KDnuggets
Building a Content-Based Book Recommendation Engine
In this blog, we will see how we can build a simple content-based recommender system using Goodreads data.
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SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Github: https://github.com/JialeCao001/SipMask
Paper: https://arxiv.org/abs/2007.14772v1
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Github: https://github.com/JialeCao001/SipMask
Paper: https://arxiv.org/abs/2007.14772v1
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On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
The Tsetlin Machine solves complex pattern recognition problems with easy-to-interpret propositional formulas.
Github: https://github.com/cair/TsetlinMachine
Paper: https://arxiv.org/abs/2007.14268v1
The Tsetlin Machine solves complex pattern recognition problems with easy-to-interpret propositional formulas.
Github: https://github.com/cair/TsetlinMachine
Paper: https://arxiv.org/abs/2007.14268v1
Train your TensorFlow model on Google Cloud using TensorFlow Cloud
https://blog.tensorflow.org/2020/08/train-your-tensorflow-model-on-google.html
https://blog.tensorflow.org/2020/08/train-your-tensorflow-model-on-google.html
blog.tensorflow.org
Train your TensorFlow model on Google Cloud using TensorFlow Cloud
The TensorFlow Cloud repository provides APIs that will allow you to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
How to Use XGBoost for Time Series Forecasting
https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
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https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
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Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python, SQL, and Vega.
https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
Project page: https://polynote.org/
Github: https://github.com/polynote/polynote
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Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python, SQL, and Vega.
https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
Project page: https://polynote.org/
Github: https://github.com/polynote/polynote
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Multilingual Speech Synthesis
Synthesized samples, training and evaluation data, source code, and parameters for Multilingual Speech Synthesis.
Github: https://github.com/Tomiinek/Multilingual_Text_to_Speech
Demo Code: https://colab.research.google.com/github/Tomiinek/Multilingual_Text_to_Speech/blob/master/notebooks/code_switching_demo.ipynb
Website with samples: https://tomiinek.github.io/multilingual_speech_samples/
Paper: https://arxiv.org/abs/2008.00768
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Synthesized samples, training and evaluation data, source code, and parameters for Multilingual Speech Synthesis.
Github: https://github.com/Tomiinek/Multilingual_Text_to_Speech
Demo Code: https://colab.research.google.com/github/Tomiinek/Multilingual_Text_to_Speech/blob/master/notebooks/code_switching_demo.ipynb
Website with samples: https://tomiinek.github.io/multilingual_speech_samples/
Paper: https://arxiv.org/abs/2008.00768
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Metrics to Use to Evaluate Deep Learning Object Detectors.
https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
A Survey on Performance Metrics for Object-Detection Algorithms: https://www.researchgate.net/publication/343194514_A_Survey_on_Performance_Metrics_for_Object-Detection_Algorithms
Github: https://github.com/ultralytics/yolov3/issues/898
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https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
A Survey on Performance Metrics for Object-Detection Algorithms: https://www.researchgate.net/publication/343194514_A_Survey_on_Performance_Metrics_for_Object-Detection_Algorithms
Github: https://github.com/ultralytics/yolov3/issues/898
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DeText: A Deep Neural Text Understanding Framework
DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
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DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
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Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Github: https://github.com/facebookresearch/QA-Overlap
Paper: https://arxiv.org/abs/2008.02637
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Github: https://github.com/facebookresearch/QA-Overlap
Paper: https://arxiv.org/abs/2008.02637
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GitHub
GitHub - facebookresearch/QA-Overlap: Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question…
Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets" - GitHub - facebookresearch/QA-Overlap: Code to support the paper &am...
Layerwise learning for Quantum Neural Networks
Training strategy that addresses vanishing gradients in quantum neural networks (QNNs).
https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html
Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk
Paper: https://arxiv.org/abs/2003.02989
Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw
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Training strategy that addresses vanishing gradients in quantum neural networks (QNNs).
https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html
Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk
Paper: https://arxiv.org/abs/2003.02989
Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw
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👍1
LSTM in Machine Learning
https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/
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https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/
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AmanXai by Aman Kharwal
LSTM in Machine Learning | Aman Kharwal
The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally
5 Machine Learning Regression Algorithms You Need to Know
https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d
habr ru: https://habr.com/ru/company/mailru/blog/513842/
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https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d
habr ru: https://habr.com/ru/company/mailru/blog/513842/
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Medium
5 Machine Learning Regression Algorithms You Need to Know
Yes, Linear Regression isn’t the only one
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TensorFlow Model Optimization Toolkit — Weight Clustering API
https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
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https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
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Plot a Decision Surface for Machine Learning Algorithms in Python
https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
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https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
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MachineLearningMastery.com
Plot a Decision Surface for Machine Learning Algorithms in Python - MachineLearningMastery.com
Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Github: https://github.com/ZHKKKe/PixelSSL
Paper: https://arxiv.org/abs/2008.05258
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Github: https://github.com/ZHKKKe/PixelSSL
Paper: https://arxiv.org/abs/2008.05258
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🔥 Language Interpretability Tool
Open-source platform for visualization and understanding of NLP models.
Github: https://github.com/PAIR-code/lit
Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md
Paper: https://arxiv.org/abs/2008.05122
Video: https://www.youtube.com/watch?v=j0OfBWFUqIE
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Open-source platform for visualization and understanding of NLP models.
Github: https://github.com/PAIR-code/lit
Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md
Paper: https://arxiv.org/abs/2008.05122
Video: https://www.youtube.com/watch?v=j0OfBWFUqIE
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Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs
https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/
Github: https://github.com/tmbdev/webdataset
Documentation: https://webdataset.readthedocs.io/en/latest/
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https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/
Github: https://github.com/tmbdev/webdataset
Documentation: https://webdataset.readthedocs.io/en/latest/
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Content-Based Recommendation System using Word Embeddings
https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html
Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data
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https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html
Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data
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KDnuggets
Content-Based Recommendation System using Word Embeddings - KDnuggets
This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.
PyTorch 1.6 now includes Stochastic Weight Averaging
https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/
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https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/
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