tuomaso Goto Github PK
Name: Tuomas Oikarinen
Type: User
Company: University of California San Diego
Bio: PhD student at UC San Diego, developing scalable ways to understand ML and make it safer. Previously @MIT.
Tuomas Oikarinen's Projects
automated-interpretability-tuning
Testing prompt tuning methods to improve explanation quality.
efficient_net
Modifying the efficientnet implementation from https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet to make it run locally on a given dataset.
radial_rl
Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"
radial_rl_v2
This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss"
sc2le-implementation
An implementation of the fully convolutional agent for playing minigames in the Starcraft 2 learning environment introduced in https://arxiv.org/abs/1708.04782.
train_mnist_fast
How to train a CNN to 99% accuracy on MNIST in less than a second on a laptop
tuomaso.github.io
personal website
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