BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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Генеративное моделирование путем оценки градиентов распределения данных.

https://yang-song.github.io/blog/2021/score/

👉 @bigdata_1
xmanager: фреймворк для управления экспериментами в DS.

https://github.com/deepmind/xmanager

👉 @bigdata_1
Как я стал настоящим самоучкой в Data Science: моя история.

https://towardsdatascience.com/how-i-became-an-actual-self-taught-data-scientist-my-story-ba4dbeb96cf8

👉 @bigdata_1
Реализация эффекта Моны Лизы с помощью tensorflow.

https://blog.tensorflow.org/2020/09/bringing-mona-lisa-effect-to-life-tensorflow-js.html

👉 @bigdata_1
Отладка моделей машинного обучения с помощью Comet Artifacts.

https://www.comet.ml/site/debugging-your-machine-learning-models-with-comet-artifacts/

👉 @bigdata_1
Как освоить Streamlit для науки о данных.

https://blog.streamlit.io/how-to-master-streamlit-for-data-science/

👉 @bigdata_1
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Efficient CNN-LSTM based Image Captioning using Neural Network Compression

Github: https://github.com/amanmohanty/idl-nncompress

Paper: https://arxiv.org/pdf/2012.09708.pdf

👉 @bigdata_1
🔥 Model Search by Google

Automatically build and deploy state-of-the-art machine learning models on structured data.

Github: https://github.com/google/model_search

Paper: https://pdfs.semanticscholar.org/1bca/d4cdfbc01fbb60a815660d034e561843d67a.pdf

Project: https://cloud.google.com/automl-tables

👉 @bigdata_1
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Domain specific BERT representation for Named Entity Recognition of lab protocol

Github: https://github.com/tejasvaidhyadev/NER_Lab_Protocols

Website: http://noisy-text.github.io/2020/wlp-task.html

Paper: https://arxiv.org/pdf/2012.11145.pdf

👉 @bigdata_1
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