Fábio Ferreira (@ferreirafabio)
github

ferreirafabio

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  • Stars
    star
    260
  • Global Rank 100,024 (Top 4 %)
  • Followers 72
  • Following 8
  • Registered over 11 years ago
  • Most used languages
    Python
         90.0 %
    TeX
         10.0 %
  • Location 🇩🇪 Germany
  • Country Total Rank 5,120
  • Country Ranking
    Python
         746
    TeX
         1,270

Top repositories

1

video2tfrecord

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.
Python
153
star
2

mppi_pendulum

The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Learning" (Williams et al., 2017) for the pendulum OpenAI Gym environment
Python
74
star
3

movement_primitives_via_optimization

Implementation of the paper "Movement Primitives via Optimization" (Dragan et al., 2016). It includes both the adaptation of trajectories with DMP and learning a better adaptation norm.
Python
21
star
4

learningdynamics

The code for the NeurIPS 2019 Graph Representation Learning workshop paper "Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases" (Ferreira et al., 2019)
Python
7
star
5

minimum-edit-distance-py

Python implementation of the standard Wagner-Fischer edit distance for two strings. It computes the string dissimilarity based on the number of operations required to transform one string into the other.
Python
5
star
6

vigenere-py

Algorithm for deciphering a message encoded with the Vigenère cipher written in python 3
Python
5
star
7

FlyingShapesDataset

A very simple toy dataset ideally for testing deep neural networks before deploying them on real-world data. It is comprised of 90 000 videos showing two objects of equal shape (rectangle, triangle and circle) and size in which one object approaches the other one.
Python
5
star
8

PlanarManipulatorDataset

A very simple toy dataset ideally for testing deep neural networks before deploying them on real-world data. It is comprised of 90 000 videos showing a planar robot manipulator executing articulated manipulation tasks by grasping a circular object and placing it on top of a square platform.
Python
4
star
9

Intro_to_ML_DHBW

Machine Learning introductory course at the Baden-Württemberg Cooperative State University Karlsruhe
TeX
2
star
10

tabular_rl

Python
1
star