Repository for the GummiArm robot project.
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Dépôts
Dépôts de mpatacchiola
mpatacchiola/TNAFPython
Official repository of the paper "Transformer Neural Autoregressive Flows", ICML 2024 (SPIG Workshop)
(11 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
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 issues indexées) (0 good first issues ouvertes)
The most cited deep learning papers
(1 star) (3 forks) (0 issues indexées) (0 good first issues ouvertes)
A curated list of deep learning resources for computer vision
(3 stars) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
A curated list of awesome self-supervised methods
(4 stars) (0 forks) (0 issues indexées) (0 good first issues ouvertes)
C++ library for discrete Bayesian networks. Bayonet can solve inference queries through exact and approximate methods.
(13 stars) (6 forks) (0 issues indexées) (0 good first issues ouvertes)
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 issues indexées) (0 good first issues ouvertes)
mpatacchiola/curaJupyter Notebook
Code realised for the hackathon "Robots at your service" in Amsterdam 2016
(1 star) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
mpatacchiola/cv-notesJupyter Notebook
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A list of recent papers regarding deep reinforcement learning
(5 stars) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
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.
(1 739 stars) (474 forks) (2 issues indexées) (2 good first issues ouvertes)
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
(624 stars) (179 forks) (0 issues indexées) (0 good first issues ouvertes)
Using the Genetic Algorithm some imaginary faces are evolved. This is a C# project, made with Visual Studio 2015.
(1 star) (1 fork) (0 issues indexées) (0 good first issues ouvertes)
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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