Name: Kent AI Laboratory
Type: Organization
Bio: New-England based, student operated organization that focuses on multidisciplinary AI research, competitive data science and high performance computing
Location: Kent School, Connecticut, US
Blog: www.kentailab.org
Kent AI Laboratory's Projects
Pure Python 2.7 implementation of solving Absorbing Markov Chains (no dependencies)
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A Python toolbox for gaining geometric insights into high-dimensional data
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
Official Kaggle API
Solution journals of past Kaggle Competitions that KAIL took part
KAIL submissions to HiMCM 2018
A Jekyll version of the "Prologue" theme by HTML5 UP
LSUN Dataset Documentation and Demo Code
Dockerfile for mattermost in production
Repository for members' resumes
Deep Learning framework for Julia
Models and examples built with TensorFlow
A pseudo cluster built for the environment at Kent Pre-Engineering center
Easy to use library to bring Tensorflow on Apache Spark
DNN models/Scripts/Functions for subspace learning written in MATLAB
Swift for TensorFlow documentation repository.
Utilities for trackML challenge participants, provided by the organizers
http://stanev.org/winconn/