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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
PRML algorithms implemented in Python
Public facing notes page
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
From the basics to slightly more interesting applications of Tensorflow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Single Shot MultiBox Detector in TensorFlow
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Coding the Machine Learning Tutorial for Learning to Learn
Simplified implementations of deep learning related works
MTCNN face detection implementation for TensorFlow, as a PIP package.
Implementing a Neural Network from Scratch
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Some work of Andrew Ng's course on Coursera
Simple tutorials for building neural networks with TensorFlow Eager mode.
Jupyter notebook running through basic examples of Distributed TensorFlow