a1noack Goto Github PK

3h

Code from C / C++ seminar project.

a1noack.github.io

Code for my website.

algo_selection

Custom OpenAI gym environment and and agents.

band-match

bert_score

BERT score for text generation

cuda_neural_net

An implementation of a neural network using cuda kernels in C++ and a non-vectorized baseline neural network using only standard libraries.

cv_class

Homework for Computer Vision class.

dark_themed_chrome_file_browser_extension

Code for chrome extension that makes the default Chrome file browser better looking.

eeg_data_analysis

Scripts for preprocessing and analyzing the collected EEG data.

eeg_data_collection_scripts

Scripts used to collect EEG waves from study participants.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

google-research

Google Research

interp_regularization

A novel neural network gradient regularization scheme for adversarial robustness and interpretability.

intro_ai

Homework files and slides from Intro to AI.

julia_cuda_test

Testing the speedup of CUDA.jl for multiplying matrices.

lab_results_analysis

labpool

Code for the Labpool site.

nn_and_svm_from_scratch

Comparing results obtained on classification task between sklearn's MLPClassifier and SVC models and two-layer DNN and a SVM I wrote from scratch.

parametric-t-sne

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

pokec_predict_age

Use natural language data from a user (of the social media website Pokec) and aggregated data describing the user's friends to predict the user's age.

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

react-cluster

Code for detecting unseen attacks

robust_interpretations

Work showing how enforcing interpretable gradients increases network robustness. Also included is work on robustness to adversarial attacks on salience maps from Ghorbani et al. (https://www.aaai.org/ojs/index.php/AAAI/article/view/4252).

summarization_robustness

We demonstrate that near SOTA summarization models are fairly robust to different types of transformations and goal-directed perturbations.

test_plugin

textattack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP