yarlp (yet another reinforcement learning package)
Implementations of A2C, DDQN, PG, CEM.
joint image-text embeddings using Canonical Correlations Analysis
Introduction to Reinforcement Learning by Sutton & Barto, Solutions to 1st Edition
Solutions to the 1st edition. Watch a video on the race car problem!
Convert non-negative square matrices with total support into doubly stochastic matrices.
>> import numpy as np >> from sinkhorn_knopp import sinkhorn_knopp as skp >> sk = skp.SinkhornKnopp() >> P = [[.011, .15], [1.71, .1]] >> P_ds = sk.fit(P) >> print P_ds [[ 0.06102561 0.93897439] [ 0.93809928 0.06190072]] >> print np.sum(P_ds, axis=0) [ 0.99912489 1.00087511] >> print np.sum(P_ds, axis=1) [ 1., 1.]
Climate Change Chatbot
kimchi making experiences in NYC!