Repository for the GummiArm robot project.
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Repositories
mpatacchiola repositories
mpatacchiola/TNAFPython
Official repository of the paper "Transformer Neural Autoregressive Flows", ICML 2024 (SPIG Workshop)
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mpatacchiola/Y-AEPython
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
(50 stars) (9 forks) (0 indexed issues) (0 open good first issues)
The most cited deep learning papers
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A curated list of deep learning resources for computer vision
(3 stars) (1 fork) (0 indexed issues) (0 open good first issues)
A curated list of awesome self-supervised methods
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C++ library for discrete Bayesian networks. Bayonet can solve inference queries through exact and approximate methods.
(13 stars) (6 forks) (0 indexed issues) (0 open good first issues)
My personal blog
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CBL website
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Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
(27 stars) (2 forks) (0 indexed issues) (0 open good first issues)
mpatacchiola/curaJupyter Notebook
Code realised for the hackathon "Robots at your service" in Amsterdam 2016
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mpatacchiola/cv-notesJupyter Notebook
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A list of recent papers regarding deep reinforcement learning
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mpatacchiola/deepgazePython
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.
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Notes about the course 'discrete optimization' on Coursera
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Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
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Using the Genetic Algorithm some imaginary faces are evolved. This is a C# project, made with Visual Studio 2015.
(1 star) (1 fork) (0 indexed issues) (0 open good first issues)
mpatacchiola/gnu-hammerPython
Set of simple tools for Unix systems. It includes date-generator, filesystem monitoring.
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Serialize and deserialize plots
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Porting on OpenAI-Gym of the Multi-Goal environment
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