matthew-mcateer Goto Github PK

adversarial_losses

Loss landscapes for adversarial training

algorithms-cards

automata-experiments

Experiments with Neural Automata

awslimitchecker

A script and python package to check your AWS service limits and usage via boto3.

bayesian_calibration

Bayesian calibration using Tensorflow Probability

btcpredictor

Bitcoin price prediction algorithm using bayesian regression techniques described in the 2014 MIT paper, "Bayesian Regression and Bitcoin" by Devavrat Shah and Kang Zhang.

cadnano2

carnd-term1-starter-kit

cbf-masschallenge-hackathon-2017

Files for hackathon component of Cognitive Builder Faire at MassChallenge

facegeneratinggan

Generative Adversarial Network designed to produce realistic human faces after being trained on a sample of 200,000+ images of celebrities

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

fractal-pretraining

Fork of the Official PyTorch code for the paper "Improving Fractal Pre-training"

ginger_tri

Transfer learning experiments on novel dataset of rhizome images 🖼️ 🍠 (taken in the produce aisle at a Whole Foods grocery store 🛒)

in-silico-labeling

Code for In silico labeling: Predicting fluorescent labels in unlabeled images

jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

keras_pruning

A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.

kerascustomutilities

Temporary Keras Utility Scripts

llamahack_submission

Submission to LLaMahack

loss-landscape

Code for visualizing the loss landscape of neural nets

loss_landscapes_tf-keras

Tensorflow/Keras-compatible implementation of https://github.com/tomgoldstein/loss-landscape

matthew-mcateer

mit_policy_hackathon

Repository for the winning code for the Internet & Cybersecurity track of the MIT Policy Hackathon.

netlify-faunadb-example

neus2

Fork of the official code for NeuS2 (forked for build improvements)

nips2017competition

Data & Scripts for the Memorial Sloan Kettering Cancer Center's (MSKCC) request for a machine learning algorithm that, using annotated information on genomic variants, automatically classifies genetic variations as either neutral or cancerous.

noise-weight-theft

Code repository for the paper "Model weight theft with just noise inputs: The curious case of the petulant attacker"

notebooks

Machine learning notebooks in different subjects optimized to run in google collaboratory

oodles-of-oods

Taxonomy of out-of-distrubuton errors

oracle

Scratch Implementations of Major Machine Learning Algorithms

practicing_trustworthy_machine_learning

GitHub Repo associated with the O'Reilly book "Practicing Trustworthy Machine Learning"