cancermqiao

bevy-spaceship

CancerMBook

This is a book built with Jupyter Book

cancermqiao.github.io

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

CPP

Deep-Learning-Specialization

My solutions to Quizzes and Programming Assignments of the specialization.

Improved_GAN_with_feature_matching

Introduction-to-Probability-and-Data-with-R

course on Coursera

leet_code_rust

models

Models and examples built with TensorFlow

cancermqiao/leet_code_rust

cancermqiao/bevy-spaceship

cancermqiao/cancermqiao.github.io

cancermqiao/nn_zero_to_hero

Neural Networks: Zero to Hero

cancermqiao/wasm-game-of-life

cancermqiao/rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

cancermqiao/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

cancermqiao/ostep-code

Code from various chapters in OSTEP (http://www.ostep.org)

cancermqiao/CancerMBook

This is a book built with Jupyter Book

cancermqiao/Deep-Learning-Specialization

My solutions to Quizzes and Programming Assignments of the specialization.

cancermqiao/Introduction-to-Probability-and-Data-with-R

course on Coursera

cancermqiao/tutorial

cancermqiao/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

cancermqiao/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

cancermqiao/progfun-wiki

cancermqiao/Improved_GAN_with_feature_matching

cancermqiao/CPP

cancermqiao/tensorflow

Computation using data flow graphs for scalable machine learning

cancermqiao/models

Models and examples built with TensorFlow