An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
created at Dec. 29, 2016, 5:43 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.
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.
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
created at Nov. 18, 2015, 7:55 p.m.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
created at Nov. 11, 2015, 2:21 p.m.
common data analysis and machine learning tasks using python
created at Oct. 6, 2015, 3:26 p.m.
a curated list of R tutorials for Data Science, NLP and Machine Learning
created at Oct. 8, 2014, 7:29 a.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.
Random Forest - a curated list of resources regarding random forest
created at June 15, 2015, 10:23 a.m.
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
created at Oct. 27, 2015, 3:26 p.m.
Code for Kaggle EEG Detection competition
created at July 25, 2015, 10:26 p.m.
Language Model GRU with Python and Theano
created at Oct. 12, 2015, 8:51 a.m.
GRUV is a Python project for algorithmic music generation.
created at July 27, 2015, 1:16 a.m.
Recurrent Neural Network - A curated list of resources dedicated to RNN
created at June 15, 2015, 10:21 a.m.
A complete daily plan for studying to become a machine learning engineer.
created at Oct. 9, 2016, 9:20 p.m.