Library for machine learning stacking generalization.
created at May 10, 2016, 3:35 p.m.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
created at Feb. 5, 2017, 12:11 p.m.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
created at March 7, 2017, 6:18 p.m.
Code samples for my book "Neural Networks and Deep Learning"
created at Nov. 13, 2012, 1:38 p.m.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
created at Oct. 16, 2014, 1 a.m.
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
created at Feb. 11, 2013, 11:07 a.m.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
created at Nov. 3, 2015, 9:08 p.m.
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
created at Aug. 2, 2013, 2:31 p.m.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
created at Jan. 23, 2015, 7:38 p.m.