ferreirafabio
PhD student @ ML lab Uni Freiburg. MSc in CS @ kit.edu. Former student researcher @ Stanford AI Lab & Scholar of the German National Academic Foundation
University of FreiburgKarlsruhe, Germany
Pinned Repositories
zero-shot-automl-with-pretrained-models
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
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.
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)
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.
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.
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
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.
vigenere-py
Algorithm for deciphering a message encoded with the Vigenère cipher written in python 3
Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
DeepEpisodicMemory
Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)
ferreirafabio's Repositories
ferreirafabio/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.
ferreirafabio/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
ferreirafabio/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.
ferreirafabio/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)
ferreirafabio/vigenere-py
Algorithm for deciphering a message encoded with the Vigenère cipher written in python 3
ferreirafabio/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.
ferreirafabio/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.
ferreirafabio/Intro_to_ML_DHBW
Machine Learning introductory course at the Baden-Württemberg Cooperative State University Karlsruhe
ferreirafabio/tabular_rl
ferreirafabio/AutoFolio
Automated Algorithm Selection with Hyperparameter Optimization
ferreirafabio/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ferreirafabio/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
ferreirafabio/faiss
A library for efficient similarity search and clustering of dense vectors.
ferreirafabio/ferreirafabio
ferreirafabio/ferreirafabio.github.io
SinglePaged - Simple Jekyll template
ferreirafabio/fishervector
Improved Fisher Vector Implementation
ferreirafabio/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
ferreirafabio/graph_nets
Build Graph Nets in Tensorflow
ferreirafabio/IK_filter
ferreirafabio/LatexTemplate
Latex Template for AutoML-Conf
ferreirafabio/metassl-dino-rpn
region proposal network with dino
ferreirafabio/moin2markdown
Migrate a MoinMoin wiki to Markdown
ferreirafabio/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
ferreirafabio/sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
ferreirafabio/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
ferreirafabio/tabrepo
ferreirafabio/tensorflow-intro
tensorflow introductory presentation with example code for a small workshop at the H2T (KIT)
ferreirafabio/UCB2017_DeepRL_homework
ferreirafabio/videofeatures
ferreirafabio/yt-dlp
A youtube-dl fork with additional features and fixes