A Julia package for manifold learning and nonlinear dimensionality reduction
created at July 19, 2014, 3:30 a.m.
A Julia package for non-negative matrix factorization
created at Feb. 8, 2014, 3:25 p.m.
Kernel density estimators for Julia
created at April 13, 2014, 7:14 p.m.
A Julia package for Gaussian Processes
created at April 30, 2015, 2:46 p.m.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
created at June 15, 2014, 2:21 p.m.
Julia implementation of Decision Tree (CART) and Random Forest algorithms
created at Jan. 14, 2013, 1:29 a.m.
basic mcmc sampler implemented in Julia
created at Nov. 20, 2012, 10:15 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.