Implementation of various topic models
created at Aug. 29, 2014, 4:01 a.m.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
created at March 31, 2017, 7:26 p.m.
links to conference publications in graph-based deep learning
created at Dec. 1, 2017, 2:48 p.m.
Implementing a Neural Network from Scratch
created at Sept. 2, 2015, 9:30 a.m.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
created at March 6, 2016, 11:30 p.m.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
created at May 16, 2014, 7:24 p.m.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
created at Jan. 14, 2013, 3:46 p.m.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
created at Nov. 11, 2015, 2:21 p.m.