Miguel Fierro (miguelgfierro)

miguelgfierro

Geek Repo

Company:@Microsoft

Location:Mars, the only planet inhabited by robots

Home Page:https://miguelgfierro.com

Twitter:@miguelgfierro

Github PK Tool:Github PK Tool


Organizations
microsoft

Miguel Fierro's repositories

ai_projects

AI projects

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sciblog

A blog made with django designed like a scientific paper written in LaTeX.

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scripts

A collection of useful shell scripts for Linux, Windows & Mac

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codebase

Code base for programming projects

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pybase

Codebase for Python

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twitter_bot

A bot that tweets automatically

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pid_controller_optimizer

PID controller optimization using generic algorithms

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publications

My publications

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miguelgfierro

I help people understand and apply AI

robot_identification

Humanoid robot identification method using genetic algorithms

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hoap3_arm_kinematics

Forward and inverse kinematics for the humanoid robot HOAP-3 arms in real time

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hoap3_dynamics

Forward and inverse dynamics for the humanoid HOAP-3

hoap3_movement_simulation

HOAP-3 humanoid robot movement simulation in OpenRAVE

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hoap3_whole_body_kinematics

Generation of whole body movements for the humanoid HOAP-3

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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SynapseML

Simple and Distributed Machine Learning

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architecture-center

Open Source documentation for the Azure Architecture Center on Microsoft Docs

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hoap3_read_sensors

This is the code to read the sensors of the humanoid robot HOAP-3

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hoap3_trajectories

A set of movement trajectories developed for the humanoid robot HOAP-3 during my PhD thesis.

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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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proposing-projects

This repo contains the LF AI & Data Project Proposal Process and Project Lifecycle. They explain the process to host new projects in LF AI & Data and provide a proposal template.

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UniRec

UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to swiftly construct a comprehensive ecosystem of recommenders using a minimal set of robust and practical recommendation models.

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