ajsanjoaquin Goto Github PK

ajsanjoaquin

ajsanjoaquin.github.io

My personal website.

algos

My implementation of basic algorithms in Java for class. Primarily used for reference now.

chatbot_starter

Followed from a Pytorch Tutorial on making a simple chatbot

colorizer_gan

Colorize Images with a Generative Adversarial Network (GAN)

covid-19-scanner

This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose COVID-19.

datainf

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepfake_detection

delta_def

While finetuning or prompting with correct information may alleviate biased or incorrect information, we ask how effective this approach is as we vary a Transformer model's size. We ask the question: How "fast" can the model discriminate the new and correct information from the old, harmful information?

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

githubexplorer

Explore a selection of github repositories using a search engine with filters. Originally made to practice React.

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

introcs

My reference for Ocaml code

jesus-russell-obi_wan_kenobi

This is an image classifier trained on a Resnet 34 CNN model to classify images of Jesus of Nazareth (religious figure), Obi-Wan Kenobi (Jedi Master), and Russell Brand (British actor).

machine-learning

Content for Udacity's Machine Learning curriculum

meta-aria

Code for Project Aria

mperturb

Implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation (Fong, et. al., 2018)

ntara

I used and created some of these functions to modify the metabolic model for Neuontobotrys tarapacana (Ntara). These files reflect the modified code started by Wayne Toh used for the same project.

pneumothorax

Image classifier to detect Pneumothorax (collapsed lung) on x-ray scans. It is trained on a Resnet 50 CNN model.

privacy

Library for training machine learning models with privacy for training data

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-deepdream

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorch_influence_functions

This is a [Stable] PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

selecta

job results

shapley_valuation

PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]

spongebobnlp

GPT-2 Transformer model (with 117 million parameters) running fine-tuned for Spongebob -sounding script generation. Server-side is hosted via Google Cloud Run. Credits to minimax for making this fun API!

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

twitter-bias-challenge

This is a repo for analyzing Twitter's Image Crop Analysis paper (Yee, Tantipongpipat, and Mishra, 2021) for the 2021 Twitter Algorithmic Bias Challenge.