gabrieletiboni
Ellis PhD student in Deep Learning and Reinforcement Learning @ Politecnico di Torino & TU Darmstadt
Politecnico di TorinoTurin, Italy
Pinned Repositories
adr-benchmark
Online vs. Offline Adaptive Domain Randomization Benchmark
Data-driven-Parkinsons-detection
Shallow machine learning techniques have been analysized and applied for a data-driven diagnosis of Parkinson's desease from patient voice measurements.
doraemon
Domain Randomization via Entropy Maximization
dropo
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
exps-launcher
Slurm experiments launcher for python scripts
Image-classification-on-Caltech101-using-CNNs
Training of a Convolutional Neural Network for image classification on dataset Caltech-101 by using AlexNet structure with both transfer learning and not.
Incremental-learning-on-CIFAR100
Reproduction of popular methods for class-incremental learning in image recognition and proposal of a new variant.
paintnet
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting
random-envs
Collection of gym environments with support for domain randomization
sb3-gym-interface
Interface to stable-baselines3 APIs for training RL policies on gym-registered environments
gabrieletiboni's Repositories
gabrieletiboni/paintnet
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting
gabrieletiboni/dropo
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
gabrieletiboni/doraemon
Domain Randomization via Entropy Maximization
gabrieletiboni/sb3-gym-interface
Interface to stable-baselines3 APIs for training RL policies on gym-registered environments
gabrieletiboni/random-envs
Collection of gym environments with support for domain randomization
gabrieletiboni/adr-benchmark
Online vs. Offline Adaptive Domain Randomization Benchmark
gabrieletiboni/exps-launcher
Slurm experiments launcher for python scripts
gabrieletiboni/Incremental-learning-on-CIFAR100
Reproduction of popular methods for class-incremental learning in image recognition and proposal of a new variant.
gabrieletiboni/Image-classification-on-Caltech101-using-CNNs
Training of a Convolutional Neural Network for image classification on dataset Caltech-101 by using AlexNet structure with both transfer learning and not.
gabrieletiboni/Data-driven-Parkinsons-detection
Shallow machine learning techniques have been analysized and applied for a data-driven diagnosis of Parkinson's desease from patient voice measurements.
gabrieletiboni/Domain-adaptation-on-PACS-dataset
Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.
gabrieletiboni/Sentiment-Analysis-on-TripAdvisor-reviews
Binary classification of textual data with traditional ML techniques to predict the mood of a real-world review (positive or negative).
gabrieletiboni/Classification-on-Wine-dataset
Comparison of traditional shallow machine learning techniques for a classification task on the UCI Wine dataset.
gabrieletiboni/senarvi-speech
Tools that I have created for speech recognition and language processing research.
gabrieletiboni/sim2real_rl_robotics_mldl_22
Starting code template for the course project in sim-to-real for reinforcement learning in robotics (machine learning and deep learning 2022 course).
gabrieletiboni/STRICT
Official code for the paper: "A Closer Look at Self-training for Zero-Label Semantic Segmentation" https://arxiv.org/abs/2104.11692
gabrieletiboni/FullStackOpen2021
Open online Full Stack Web Developer course at Aalto University
gabrieletiboni/FullStackOpen2021-part3
Part 3 exercises of Full Stack Web Developer open online course
gabrieletiboni/mldl_2024_template
Starting code for course project of MLDL 2024 - 01TXFSM, Polytechnic of Turin.
gabrieletiboni/rf-dropo
Reset-Free DROPO
gabrieletiboni/RL-algorithms-for-Pong-game
Implementation of popular reinforcement learning control algorithms to build an intelligent pong player.
gabrieletiboni/aml22-rl
Starting code for the course project of Advanced Machine Learning in Reinforcement Learning
gabrieletiboni/daai22-rl
Starting code for exam project of Data Analysis and Artificial Intelligence 2022 course @ Politecnico di Torino
gabrieletiboni/learned_optimization
gabrieletiboni/sim-parameter-estimation
The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), from NVIDIA Research Seattle.