this repository accompanies my forthcoming book "Grokking Deep Learning"

Learning Python Data Visualization [video], published by Packt

Blog Machine Learning in Vietnamese

A visual guide to git.

(Open Source) Computer Vision + Deep Learning + League of Legends

Source code in ebook Machine Learning

My github user page

A complete computer science study plan to become a software engineer.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

NUS ACM Team's Notebook for ACM ICPC World final 2016

Code related to blog posts on my Medium page

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

Deep Gaussian Process for Inverse Reinforcement Learning

Implementation of the Option-Critic Architecture on the Atari (ALE) environment

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Reimplementing "Curiosity-driven Exploration by Self-supervised Prediction" (2017)

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

Vector and Tensor Calculus

📙 The probability and statistics cookbook

Play with neural networks!

A visual introduction to probability and statistics.

Implementations of selected inverse reinforcement learning algorithms.