seansaito

Faster-LIME

LIME but faster, precise, consistent, and robust

Explaining-Away-Attacks-Against-Neural-Networks

Code for my blog post titled "Explaining Away Attacks Against Neural Networks"

ndsc_code_gakko_workshop

Repository of code for the Shopee NDSC Object Detection Workshop

code-book-defenses

Evaluation of adversarial robustness of neural networks that use MSE and code-book target representations

CLEAR

Counterfactual Local Explanations via Regression (CLEAR)

nf-jax-sap

Using Normalizing Flows to generate the SAP logo. Implemented using JAX.

pylah

A Python module for translating English text to Singlish

softshell

Turn hard-coded parameters into dynamic ones without refactoring

Capstone-Submission

Submission of Capstone Code

CTGAN

Conditional GAN for Tabular Data

Masking-Important-Pixels

Code for experiments from the blog post: "What happens when we mask out the "unimportant" parts of an image?" https://seansaito.github.io/2019/12/03/masked-accuracy/

pystan-football

Notebooks for my blog post on modeling football match outcomes with PyStan

adalchemy

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bert

TensorFlow code and pre-trained models for BERT

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

content_informed_attacks

Repository for Experiments With Content-Informed Attacks

contextual-ai

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.

deep-models

Implementation of a couple deep learning models using TensorFlow

kedro

A Python library that implements software engineering best-practice for data and ML pipelines.

langchain

⚡ Building applications with LLMs through composability ⚡

learning_react

Repository of react examples

models

Models and examples built with TensorFlow

nanoGPT_clean

A reimplementation of Andrej Karpathy's nanoGPT for educational purposes

nascell-automl

programminglanguage

Assignments for Yale-NUS' compiler course

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

rl_sample_projects

A simple repo with toy RL code

shap

A unified approach to explain the output of any machine learning model.