Classical equations and diagrams in machine learning
updated at May 26, 2024, 11:16 a.m.
📺 Discover the latest machine learning / AI courses on YouTube.
updated at May 26, 2024, 8:53 a.m.
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
updated at May 26, 2024, 5:40 a.m.
links to conference publications in graph-based deep learning
updated at May 26, 2024, 4:48 a.m.
common data analysis and machine learning tasks using python
updated at May 26, 2024, 3:36 a.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 May 25, 2024, 8:35 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.
updated at May 25, 2024, 7:34 p.m.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
updated at May 25, 2024, 6:28 p.m.
A complete daily plan for studying to become a machine learning engineer.
updated at May 25, 2024, 6:26 p.m.
Deep Learning Tutorial notes and code. See the wiki for more info.
updated at May 25, 2024, 2:30 p.m.
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
updated at May 25, 2024, 2:09 p.m.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
updated at May 25, 2024, 2:07 p.m.
Implementing a Neural Network from Scratch
updated at May 24, 2024, 11:24 a.m.
machine learning tutorials (mainly in Python3)
updated at May 24, 2024, 3:52 a.m.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
updated at May 24, 2024, 3:25 a.m.
a curated list of R tutorials for Data Science, NLP and Machine Learning
updated at May 23, 2024, 9:33 p.m.