This week’s roundup include three deep learning frameworks. Check if they could give you an unexpected insight. Also, Apache Streams becomes an Apache incubating project. Check out its project page for detailed information.
Unifying a diverse world of digital profiles and online activities into common formats and vocabularies, and makes these datasets accessible.
Prepare data for RDBMS ingestion with Hadoop MapReduce.
Custom Jupyter Notebook Themes.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations of the top machine learning algorithms for binary classification.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more.
Deep Learning algorithms with TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
Open nsfw model
Code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
A Minimalist GPU-only N-Dimensional ConvNets Framework.
A open Machine Learning Framework for hackers to build classical, deep or hybrid machine learning applications.
A flexible framework of neural networks for deep learning.
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