Pinned Repositories
AutoBots
data_analysis_MCU_dataset
evaluate_B_bias
henrypapadatos.github.io
project-2023-graphing-what-we-can created by GitHub Classroom
how-rich-am-i
LLM-sycophancy
Mobile_robotics
Project of robotics that implements: vision, global navigation, local navigation and filtering.
Model_predictive_control_rocket_landing
Design an MPC controller to control a rockect prototype with controlable trust direction.
Noise2noise_model
The goal of the mini-projects is to implement a Noise2Noise deeplearning model. A Noise2Noise model is an image denoising network trained without a clean reference image. The original paper can be found at https://arxiv.org/abs/1803.04189. The project has two parts, focusing on two different facets of deep learning. The first one is to build a network that denoises using the PyTorch framework, in particular the torch.nn modules and autograd. The second one is to understand and build a framework, its constituent modules, that are the standard building blocks of deep networks without PyTorch’s autograd.
Reinforcement_Learning_TicTacToe
The aim of this project is to implement a Q-learning and a deep Q-learning algorithm in order to play TicTacToe.
henrypapadatos's Repositories
henrypapadatos/Model_predictive_control_rocket_landing
Design an MPC controller to control a rockect prototype with controlable trust direction.
henrypapadatos/evaluate_B_bias
henrypapadatos/LLM-sycophancy
henrypapadatos/Noise2noise_model
The goal of the mini-projects is to implement a Noise2Noise deeplearning model. A Noise2Noise model is an image denoising network trained without a clean reference image. The original paper can be found at https://arxiv.org/abs/1803.04189. The project has two parts, focusing on two different facets of deep learning. The first one is to build a network that denoises using the PyTorch framework, in particular the torch.nn modules and autograd. The second one is to understand and build a framework, its constituent modules, that are the standard building blocks of deep networks without PyTorch’s autograd.
henrypapadatos/Reinforcement_Learning_TicTacToe
The aim of this project is to implement a Q-learning and a deep Q-learning algorithm in order to play TicTacToe.
henrypapadatos/AutoBots
henrypapadatos/data_analysis_MCU_dataset
henrypapadatos/henrypapadatos.github.io
project-2023-graphing-what-we-can created by GitHub Classroom
henrypapadatos/how-rich-am-i
henrypapadatos/Mobile_robotics
Project of robotics that implements: vision, global navigation, local navigation and filtering.
henrypapadatos/lauzhack
henrypapadatos/MOSS-RLHF
MOSS-RLHF
henrypapadatos/representation-engineering
Representation Engineering: A Top-Down Approach to AI Transparency