TensorFlow-Examples by aymericdamien
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
created at Nov. 11, 2015, 2:21 p.m.
machine-learning-for-software-engineers by ZuzooVn
A complete daily plan for studying to become a machine learning engineer.
created at Oct. 9, 2016, 9:20 p.m.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon
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.
Kalman-and-Bayesian-Filters-in-Python by rlabbe
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.
ML-YouTube-Courses by dair-ai
📺 Discover the latest machine learning / AI courses on YouTube.
created at June 25, 2021, 9:39 a.m.
stanford-tensorflow-tutorials by chiphuyen
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
created at Nov. 5, 2016, 6:21 p.m.
machine-learning-cheat-sheet by soulmachine
Classical equations and diagrams in machine learning
created at May 9, 2013, 7:43 a.m.
awesome-rnn by kjw0612
Recurrent Neural Network - A curated list of resources dedicated to RNN
created at June 15, 2015, 10:21 a.m.
DataSciencePython by ujjwalkarn
common data analysis and machine learning tasks using python
created at Oct. 6, 2015, 3:26 p.m.
have-fun-with-machine-learning by humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
created at Dec. 29, 2016, 5:43 p.m.
awesome-graph-classification by benedekrozemberczki
A collection of important graph embedding, classification and representation learning papers with implementations.
created at July 14, 2018, 12:13 p.m.
graph-based-deep-learning-literature by naganandy
links to conference publications in graph-based deep learning
created at Dec. 1, 2017, 2:48 p.m.
TensorFlow-Book by BinRoot
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.
DeepLearningTutorials by lisa-lab
Deep Learning Tutorial notes and code. See the wiki for more info.
created at Jan. 7, 2010, 6:42 p.m.
skflow by tensorflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
created at Nov. 18, 2015, 7:55 p.m.
machine-learning by ethen8181
machine learning tutorials (mainly in Python3)
created at July 24, 2015, 3:35 a.m.
awesome-network-embedding by chihming
A curated list of network embedding techniques.
created at Nov. 27, 2016, 10:08 a.m.