Pinned Repositories
RL-algorithms-for-landing-on-pipe-with-PX4-Iris-quadcopter
These Reinforcement Learning algorithms follow "Deep Reinforcement Learning - Hands On" book (by Maxim Lapan) guidelines, so PyTorch library was used for learning, and tensorboard for visual debugging. Simulation on ROS - Gazebo with MAVROS communication.
Trajectory-Prediction-PyTorch
Implementation of baselines for the nuScenes dataset
RRU-Net_Tensorflow2
A Tensorflow 2.0 implementation of the RRU-Net for Image Splicing Forgery Detection
Assembly-programs-preprocessing
All you need for assembly functions pre-processing in Python. Useful for classification problems
Random-forest-agent-for-assembly-function-classification
This agent uses the Random Forest algorithm to classify a list of assembly functions. First he will train on the provided dataset, then he's able to classify any function list. To pre-process data, you need the libraries in my repository "https://github.com/Gianfranco-98/Assembly-programs-preprocessing"
SSD-Tensorflow2
Object Detection in tf2 with SSD
dashboards
general purpose dashboards for personal and commercial use
model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
SAC-HER-Tensorflow2
Project for the Reinforcement Learning course of the "Artificial Intelligence and Robotics" Master Degree at University "La Sapienza" of Rome. Done with the user Gianfranco-98.
Gianfranco-98's Repositories
Gianfranco-98/dashboards
general purpose dashboards for personal and commercial use
Gianfranco-98/model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Gianfranco-98/Trajectory-Prediction-PyTorch
Implementation of baselines for the nuScenes dataset
Gianfranco-98/SSD-Tensorflow2
Object Detection in tf2 with SSD
Gianfranco-98/RRU-Net_Tensorflow2
A Tensorflow 2.0 implementation of the RRU-Net for Image Splicing Forgery Detection
Gianfranco-98/Assembly-programs-preprocessing
All you need for assembly functions pre-processing in Python. Useful for classification problems
Gianfranco-98/Random-forest-agent-for-assembly-function-classification
This agent uses the Random Forest algorithm to classify a list of assembly functions. First he will train on the provided dataset, then he's able to classify any function list. To pre-process data, you need the libraries in my repository "https://github.com/Gianfranco-98/Assembly-programs-preprocessing"
Gianfranco-98/RL-algorithms-for-landing-on-pipe-with-PX4-Iris-quadcopter
These Reinforcement Learning algorithms follow "Deep Reinforcement Learning - Hands On" book (by Maxim Lapan) guidelines, so PyTorch library was used for learning, and tensorboard for visual debugging. Simulation on ROS - Gazebo with MAVROS communication.