gabrieletiboni Goto Github PK
Name: Gabriele Tiboni
Type: User
Company: Politecnico di Torino
Bio: Ellis PhD student in Deep Learning and Reinforcement Learning @ Politecnico di Torino & TU Darmstadt
Location: Turin, Italy
Name: Gabriele Tiboni
Type: User
Company: Politecnico di Torino
Bio: Ellis PhD student in Deep Learning and Reinforcement Learning @ Politecnico di Torino & TU Darmstadt
Location: Turin, Italy
Online vs. Offline Adaptive Domain Randomization Benchmark
Starting code for the course project of Advanced Machine Learning in Reinforcement Learning
Comparison of traditional shallow machine learning techniques for a classification task on the UCI Wine dataset.
Starting code for exam project of Data Analysis and Artificial Intelligence 2022 course @ Politecnico di Torino
Shallow machine learning techniques have been analysized and applied for a data-driven diagnosis of Parkinson's desease from patient voice measurements.
Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.
Domain Randomization via Entropy Maximization
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Slurm experiments launcher for python scripts
Open online Full Stack Web Developer course at Aalto University
Part 3 exercises of Full Stack Web Developer open online course
Training of a Convolutional Neural Network for image classification on dataset Caltech-101 by using AlexNet structure with both transfer learning and not.
Reproduction of popular methods for class-incremental learning in image recognition and proposal of a new variant.
Starting code for course project of MLDL 2024 - 01TXFSM, Polytechnic of Turin.
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting
Collection of gym environments with support for domain randomization
Reset-Free DROPO
Implementation of popular reinforcement learning control algorithms to build an intelligent pong player.
Interface to stable-baselines3 APIs for training RL policies on gym-registered environments
Tools that I have created for speech recognition and language processing research.
Binary classification of textual data with traditional ML techniques to predict the mood of a real-world review (positive or negative).
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.
Starting code template for the course project in sim-to-real for reinforcement learning in robotics (machine learning and deep learning 2022 course).
Official code for the paper: "A Closer Look at Self-training for Zero-Label Semantic Segmentation" https://arxiv.org/abs/2104.11692
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.