mpatacchiola
Postdoc at the University of Cambridge. Likes Machine/Deep/Reinforcement Learning.
University of CambridgeCambridge
Pinned Repositories
bayonet
C++ library for discrete Bayesian networks. Bayonet can solve inference queries through exact and approximate methods.
contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
deepgaze
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
pyERA
Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.
self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
spatial-bottleneck
pyTorch implementation of the Spatial Bottleneck module
tensorbag
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
mpatacchiola's Repositories
mpatacchiola/deepgaze
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
mpatacchiola/dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
mpatacchiola/self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
mpatacchiola/pyERA
Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.
mpatacchiola/Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
mpatacchiola/tensorbag
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
mpatacchiola/contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
mpatacchiola/bayonet
C++ library for discrete Bayesian networks. Bayonet can solve inference queries through exact and approximate methods.
mpatacchiola/spatial-bottleneck
pyTorch implementation of the Spatial Bottleneck module
mpatacchiola/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
mpatacchiola/imujoco
Official repository of the iMuJoCo (iMitation MuJoCo) dataset
mpatacchiola/awesome-deep-vision
A curated list of deep learning resources for computer vision
mpatacchiola/naogui
Graphical user interfaces for Aldebaran NAO robot
mpatacchiola/awesome-deep-learning-papers
The most cited deep learning papers
mpatacchiola/blog
My personal blog
mpatacchiola/cbl-website
CBL website
mpatacchiola/cura
Code realised for the hackathon "Robots at your service" in Amsterdam 2016
mpatacchiola/icub-demos
Packages containing standalone demos for the iCub humanoid robot
mpatacchiola/machinebag
Sparse machine learning applications, different programming languages and datasets have been used.
mpatacchiola/mpatacchiola.github.io
Personal page
mpatacchiola/roboroom
Memories from another life (when I was a robot-maker)
mpatacchiola/svcca
mpatacchiola/torchtrainer
High level wrapper to train pyTorch models on common datasets
mpatacchiola/cv-notes
mpatacchiola/discrete-optimization
Notes about the course 'discrete optimization' on Coursera
mpatacchiola/gnu-hammer
Set of simple tools for Unix systems. It includes date-generator, filesystem monitoring.
mpatacchiola/GummiArm
Repository for the GummiArm robot project.
mpatacchiola/gym-multigoal
Porting on OpenAI-Gym of the Multi-Goal environment
mpatacchiola/immerse
Tutorials
mpatacchiola/rl-adaptation
Scratchbook repo for experimenting with Brax environments, PPO, and policy diversification algos