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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

lauzhack

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.

moss-rlhf

MOSS-RLHF

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.

representation-engineering

Representation Engineering: A Top-Down Approach to AI Transparency