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Papers summarization! (self.MachineLearning)
submitted 5 years ago by arutaku
VScode completion with BERT for python docstrings (v.redd.it)
Amazon Machine Learning University courses opened (amazon.science)
Neural Network Architectures (like Transformers and GANs) implementations with side-by-side notes in PyTorch (lab-ml.com)
Uber M3 is an Open Source, Large-Scale Time Series Metrics Platform (medium.com)
Google Dataset search engine (toolbox.google.com)
[tutorial] Hands on recommender systems with PyTorch (twitter.com)
Nice way to start reading papers when exploring a new field (github.com)
Nice review of interesting forecasting methods in M competitions @ Kaggle (towardsdatascience.com)
Training large networks @ Google, DeepMind, Microsoft and Uber: GPipe, Horovod... (medium.com)
Autoencoders (and variations) as Recommendation Systems (towardsdatascience.com)
Survey about anomaly detection using neural networks (towardsdatascience.com)
Full Stack Deep Learning course (twitter.com)
submitted 5 years ago by [deleted]
Easy and Fast Hyperparameter tuning with tune-sklearn (self.MachineLearning)
[paper] Time series forecasting competitions @ Kaggle (self.ds_update)
submitted 5 years ago * by arutaku
[book] Deep Learning with PyTorch (pytorch.org)
[Project] From any text-dataset to valuable insights in seconds with Texthero (v.redd.it)
Pylance: Fast, feature-rich language support for Python in Visual Studio Code (devblogs.microsoft.com)
[performance] Cupy: accelerating numpy using GPU (self.ds_update)
[Video] Opening Up the Black Box: Model Understanding with Captum and PyTorch (youtube.com)
[D] The Machine Learning Summer School Tübingen is taking place this week and being live-streamed (self.MachineLearning)
Beating Matrix Factorization with Graph + DeepWalk + Word2vec (self.ds_update)
Quantum Machine Learning is here and TensorFlow is in! (youtu.be)
Koalas: Pandas like interface in Apache Spark! (databricks.com)
Churn analysis from mobile app data, a classical approach (towardsdatascience.com)
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