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how_to_do_math_for_deep_learning

This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube

image-denoising-mrf

This is a simple demonstration of applying Markov networks to the problem of image denoising.

improved-gan

code for the paper "Improved Techniques for Training GANs"

inb-principles

Blockchain related ICO Investing Principles by INBlockchain

installracecarj

Install the ROS stack, MIT RACECAR Packages, and hardware support on RACECAR/J.

installrosxavier

Install Robot Operating System (ROS) on the NVIDIA Jetson AGX Xavier Developer Kit

lab

A customisable 3D platform for agent-based AI research

learnopengl

Code repository of all OpenGL tutorials found at https://learnopengl.com

libbandit

Library for Multi-Armed Bandit Algorithms

loco_car

Software for LOCO, our autonomous drifting RC car.

lsd_slam

LSD-SLAM

makenn1

mini tool for drawing a neural network graph.

mas.s62

MAS.S62 Spring 2018 course website

master_rockx_demo

Rockx demo for RK1808 master mode over Linux/Windows/MacOS/Android

mcwnnm-iccv2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

meetup

ipython notebooks for Nervana's deep learning meetup

morvanzhou.github.io

New site

ndt_localizer

A simple, clean NDT licalization ROS package.

open_ptrack

Open source people tracking library

openai-cartpole

random search, hill climbing, policy gradient

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

probabilistic-robotics-review

THRUN

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

reborn

regular-investing-in-box

定投改变命运 —— 让时间陪你慢慢变富

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement-learning-review

Reinforcement learning review

reinforcementzerotoall

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.