Classical equations and diagrams in machine learning
updated at May 12, 2024, 8:44 a.m.
Deep Learning Tutorial notes and code. See the wiki for more info.
updated at May 12, 2024, 8:21 a.m.
📺 Discover the latest machine learning / AI courses on YouTube.
updated at May 12, 2024, 6:49 a.m.
A complete daily plan for studying to become a machine learning engineer.
updated at May 12, 2024, 4:09 a.m.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
updated at May 12, 2024, 4:07 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 11, 2024, 9:19 p.m.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
updated at May 11, 2024, 7:44 p.m.
common data analysis and machine learning tasks using python
updated at May 11, 2024, 5:38 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 11, 2024, 5:19 p.m.
Recurrent Neural Network - A curated list of resources dedicated to RNN
updated at May 11, 2024, 12:17 p.m.
a curated list of R tutorials for Data Science, NLP and Machine Learning
updated at May 11, 2024, 10:02 a.m.
links to conference publications in graph-based deep learning
updated at May 11, 2024, 7:39 a.m.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
updated at May 11, 2024, 3 a.m.
A curated list of awesome Torch tutorials, projects and communities
updated at May 10, 2024, 10:42 p.m.
Genetic Programming in Python, with a scikit-learn inspired API
updated at May 10, 2024, 9:28 p.m.
Implementing a Neural Network from Scratch
updated at May 10, 2024, 2:57 p.m.