seansaito Goto Github PK

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

blackhat

Hackathon Project for IoT Hackathon 2015

bokeh

Interactive Web Plotting for Python

capstone-submission

Submission of Capstone Code

clear

Counterfactual Local Explanations via Regression (CLEAR)

cleverhans

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

code-book-defenses

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

computervision

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.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

ctgan

Conditional GAN for Tabular Data

datasciencegame

Repository of Solutions for DSG

dec

deep-models

Implementation of a couple deep learning models using TensorFlow

diabeticretinopathydetection

electionaire

A questionnaire that matches users with a Singapore political party

etheroll-web

Web Client for Ethereum-based service that allows ride-sharing

explaining-away-attacks-against-neural-networks

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

faster-lime

LIME but faster, precise, consistent, and robust

flask

A microframework based on Werkzeug, Jinja2 and good intentions

free-programming-books

japanesestartupnamegenerator

Webapp that generates startup names in Japanese

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

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