Massimiliano Patacchiola's repositories
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
spatial-bottleneck
pyTorch implementation of the Spatial Bottleneck module
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-deep-learning-papers
The most cited deep learning papers
cbl-website
CBL website
icub-demos
Packages containing standalone demos for the iCub humanoid robot
machinebag
Sparse machine learning applications, different programming languages and datasets have been used.
mpatacchiola.github.io
Personal page
torchtrainer
High level wrapper to train pyTorch models on common datasets
discrete-optimization
Notes about the course 'discrete optimization' on Coursera
gnu-hammer
Set of simple tools for Unix systems. It includes date-generator, filesystem monitoring.
gym-multigoal
Porting on OpenAI-Gym of the Multi-Goal environment
rl-adaptation
Scratchbook repo for experimenting with Brax environments, PPO, and policy diversification algos