gandalfvn

Pose3D

A reading list and research resources on 3D pose estimation and reconstruction

ACM_Notebook_new

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

awesome-machine-learning

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

coding-interview-university

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

coursera-machine-learning

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

curiosity-a3c

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

DeepLeague

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

DGP-IRL

Deep Gaussian Process for Inverse Reinforcement Learning

ebookML_src

Source code in ebook Machine Learning

FeatureControlHRL

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

Inverse-Reinforcement-Learning

Implementations of selected inverse reinforcement learning algorithms.

irl-imitation

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

Learning-Python-Data-Visualization

Learning Python Data Visualization [video], published by Packt

Medium

Code related to blog posts on my Medium page

nicolashug.github.io

My github user page

noreward-rl

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

openpose

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

option_critic

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

playground

Play with neural networks!

pytorch-noreward-rl

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

realai.org

Realtime_Multi-Person_Pose_Estimation

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

reinforcement-learning

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

Seeing-Theory

A visual introduction to probability and statistics.

Stanford-Probabilistic-Graphical-Models-Coursera

stat-cookbook

:orange_book: The probability and statistics cookbook

tiepvupsu.github.io

Blog Machine Learning in Vietnamese

vector-calculus

Vector and Tensor Calculus

visual-git-guide

A visual guide to git.