ML-YouTube-Courses by dair-ai
📺 Discover the latest machine learning / AI courses on YouTube.
updated at Nov. 3, 2024, 7:23 p.m.
graph-based-deep-learning-literature by naganandy
links to conference publications in graph-based deep learning
updated at Nov. 3, 2024, 5:56 p.m.
have-fun-with-machine-learning by humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
updated at Nov. 3, 2024, 4:48 p.m.
machine-learning-cheat-sheet by soulmachine
Classical equations and diagrams in machine learning
updated at Nov. 3, 2024, 2:40 p.m.
awesome-random-forest by kjw0612
Random Forest - a curated list of resources regarding random forest
updated at Nov. 3, 2024, 9:53 a.m.
nn-from-scratch by dennybritz
Implementing a Neural Network from Scratch
updated at Nov. 3, 2024, 9:48 a.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.
updated at Nov. 3, 2024, 6:14 a.m.
awesome-network-embedding by chihming
A curated list of network embedding techniques.
updated at Nov. 3, 2024, 6:05 a.m.
machine-learning-for-software-engineers by ZuzooVn
A complete daily plan for studying to become a machine learning engineer.
updated at Nov. 3, 2024, 4:02 a.m.
machine-learning by ethen8181
machine learning tutorials (mainly in Python3)
updated at Nov. 3, 2024, 3:21 a.m.
DataScienceR by ujjwalkarn
a curated list of R tutorials for Data Science, NLP and Machine Learning
updated at Nov. 3, 2024, 2:07 a.m.
TensorFlow-Examples by aymericdamien
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
updated at Nov. 3, 2024, 12:45 a.m.
awesome-graph-classification by benedekrozemberczki
A collection of important graph embedding, classification and representation learning papers with implementations.
updated at Nov. 3, 2024, 12:37 a.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 ;)
updated at Nov. 3, 2024, 12:21 a.m.
TensorFlow-Book by BinRoot
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
updated at Nov. 3, 2024, 12:04 a.m.
awesome-torch by carpedm20
A curated list of awesome Torch tutorials, projects and communities
updated at Nov. 2, 2024, 8:01 p.m.