〰 Monotonic Differentiable Sorting Networks
Github: https://github.com/Felix-Petersen/diffsort
Colab: https://colab.research.google.com/drive/1q0TZFFYB9FlOJYWKt0_7ZaXQT190anhm?usp=sharing
Paper: https://arxiv.org/abs/2203.09630v1
Video: https://www.youtube.com/watch?v=Rl-sFaE1z4M
Dataset: https://paperswithcode.com/dataset/svhn
Github: https://github.com/Felix-Petersen/diffsort
Colab: https://colab.research.google.com/drive/1q0TZFFYB9FlOJYWKt0_7ZaXQT190anhm?usp=sharing
Paper: https://arxiv.org/abs/2203.09630v1
Video: https://www.youtube.com/watch?v=Rl-sFaE1z4M
Dataset: https://paperswithcode.com/dataset/svhn
Генеративное моделирование путем оценки градиентов распределения данных.
https://yang-song.github.io/blog/2021/score/
👉 @bigdata_1
https://yang-song.github.io/blog/2021/score/
👉 @bigdata_1
xmanager: фреймворк для управления экспериментами в DS.
https://github.com/deepmind/xmanager
👉 @bigdata_1
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
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
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
https://www.comet.ml/site/debugging-your-machine-learning-models-with-comet-artifacts/
👉 @bigdata_1
Советы и улучшения Jupyter Notebook
https://nathaniel-speiser.github.io/Jupyter-Notebook-tips-and-improvements/
👉 @bigdata_1
https://nathaniel-speiser.github.io/Jupyter-Notebook-tips-and-improvements/
👉 @bigdata_1
Как освоить Streamlit для науки о данных.
https://blog.streamlit.io/how-to-master-streamlit-for-data-science/
👉 @bigdata_1
https://blog.streamlit.io/how-to-master-streamlit-for-data-science/
👉 @bigdata_1
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Graph Transformer Architecture
Github: https://github.com/graphdeeplearning/graphtransformer
Paper: https://arxiv.org/abs/2012.09699
👉 @bigdata_1
Github: https://github.com/graphdeeplearning/graphtransformer
Paper: https://arxiv.org/abs/2012.09699
👉 @bigdata_1
👍1
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🕹 Mastering Atari with Discrete World Models
Github: https://github.com/danijar/dreamerv2
Google research: https://ai.googleblog.com/2021/02/mastering-atari-with-discrete-world.html
Paper: https://arxiv.org/abs/2010.02193
👉 @bigdata_1
Github: https://github.com/danijar/dreamerv2
Google research: https://ai.googleblog.com/2021/02/mastering-atari-with-discrete-world.html
Paper: https://arxiv.org/abs/2010.02193
👉 @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
Github: https://github.com/amanmohanty/idl-nncompress
Paper: https://arxiv.org/pdf/2012.09708.pdf
👉 @bigdata_1
Unbiased Teacher for Semi-Supervised Object Detection
Github: https://github.com/facebookresearch/unbiased-teacher
Paper: https://arxiv.org/abs/2102.09480
Project: https://ycliu93.github.io/projects/unbiasedteacher.html
👉 @bigdata_1
Github: https://github.com/facebookresearch/unbiased-teacher
Paper: https://arxiv.org/abs/2102.09480
Project: https://ycliu93.github.io/projects/unbiasedteacher.html
👉 @bigdata_1
👍2
Deep Learning & Art: Neural Style Transfer
https://datascience-enthusiast.com/DL/Art_Generation_with_Neural_Style_Transfer_v2.html
👉 @bigdata_1
https://datascience-enthusiast.com/DL/Art_Generation_with_Neural_Style_Transfer_v2.html
👉 @bigdata_1
👍2
🔥 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
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
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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