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giegloop's Projects

mathworks_tools icon mathworks_tools

Scripts and tools created by ADI to be used with MATLAB and Simulink with ADI products

mdi icon mdi

Missing Data Imputation Python Library

megui icon megui

GitHub clone of SVN repo http://svn.code.sf.net/p/megui/code/ (cloned by http://svn2github.com/). This repo is not updated anymore. Please read at http://piotr.gabryjeluk.pl/blog:svn2github-problems

mememoji icon mememoji

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

meshcnn icon meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

midas icon midas

Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

miio-by-csharp icon miio-by-csharp

miio协议的中文补充信息,以及C#测试程序,电脑版米家App原型。已实现局域网消息解密、加密和发送接收,从而可以控制基础版智能插座PlugV1、多功能网关等。

missingno icon missingno

Missing data visualization module for Python.

mitmproxy icon mitmproxy

An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.

ml-talk-demos icon ml-talk-demos

Code for the demos from my Google Next '17 talk: https://youtu.be/w1xNTLH1zlA and I/O '17 talk: https://www.youtube.com/watch?v=ETeeSYMGZn0

movie-recommender-demo icon movie-recommender-demo

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

mpc_implementation_example icon mpc_implementation_example

当サンプルモデルは、モデル予測制御(MPC)の設計と実装のワークフローを分かりやすく紹介するための資料です。 設計後、コード生成を行い、マイクロコントローラに実装するまでの流れを詳しくまとめています。

mpcc icon mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

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