high dimensional outlier detection using python

Can someone please point me to a robust python implementation of algorithms like Robust-PCA or Angle Based Outlier detection (ABOD)? I tried a couple of python implementations of Robust-PCA, but they turned out to be very memory-intensive, and the program crashed. My dataset is 60,000 X 900 floats. R has an implementation of ABOD, but I want to stick to python.