TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
created at Nov. 11, 2015, 2:21 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.
A complete daily plan for studying to become a machine learning engineer.
created at Oct. 9, 2016, 9:20 p.m.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
created at Nov. 5, 2016, 6:21 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.
Deep Learning Tutorial notes and code. See the wiki for more info.
created at Jan. 7, 2010, 6:42 p.m.
📺 Discover the latest machine learning / AI courses on YouTube.
created at June 25, 2021, 9:39 a.m.
common data analysis and machine learning tasks using python
created at Oct. 6, 2015, 3:26 p.m.
Recurrent Neural Network - A curated list of resources dedicated to RNN
created at June 15, 2015, 10:21 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.
Classical equations and diagrams in machine learning
created at May 9, 2013, 7:43 a.m.
Implementing a Neural Network from Scratch
created at Sept. 2, 2015, 9:30 a.m.
a curated list of R tutorials for Data Science, NLP and Machine Learning
created at Oct. 8, 2014, 7:29 a.m.
links to conference publications in graph-based deep learning
created at Dec. 1, 2017, 2:48 p.m.
A collection of important graph embedding, classification and representation learning papers with implementations.
created at July 14, 2018, 12:13 p.m.
machine learning tutorials (mainly in Python3)
created at July 24, 2015, 3:35 a.m.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
created at Dec. 29, 2016, 5:43 p.m.