A machine translation reading list maintained by Tsinghua Natural Language Processing Group
updated at June 1, 2024, 2:41 a.m.
A curated list of awesome Torch tutorials, projects and communities
updated at June 1, 2024, 9:07 a.m.
Genetic Programming in Python, with a scikit-learn inspired API
updated at June 5, 2024, 11:11 a.m.
Deep Learning Tutorial notes and code. See the wiki for more info.
updated at June 6, 2024, 4:04 a.m.
A collection of important graph embedding, classification and representation learning papers with implementations.
updated at June 6, 2024, 7:20 a.m.
A curated list of network embedding techniques.
updated at June 7, 2024, 11:54 a.m.
a curated list of R tutorials for Data Science, NLP and Machine Learning
updated at June 7, 2024, 2:58 p.m.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
updated at June 7, 2024, 10:10 p.m.
Classical equations and diagrams in machine learning
updated at June 8, 2024, 4:50 a.m.
machine learning tutorials (mainly in Python3)
updated at June 8, 2024, 12:28 p.m.
links to conference publications in graph-based deep learning
updated at June 8, 2024, 1:24 p.m.
Random Forest - a curated list of resources regarding random forest
updated at June 8, 2024, 4:38 p.m.
Recurrent Neural Network - A curated list of resources dedicated to RNN
updated at June 8, 2024, 4:38 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 ;)
updated at June 8, 2024, 7:23 p.m.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
updated at June 8, 2024, 10:29 p.m.
A complete daily plan for studying to become a machine learning engineer.
updated at June 9, 2024, 4:45 a.m.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
updated at June 9, 2024, 7:55 a.m.