mtcrawshaw
Computer science PhD student at George Mason University. Machine learning, optimization.
Washington, DC
Pinned Repositories
episode
[ICLR 2023] EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
arxiv-notifier
cs-681-project
CS 681 Final Project: An Intelligent Cognitive Agent for Software Vulnerability Assessment
dynamic-sparse-graph
This is an implementation of the paper "Dynamic Sparse Graph for Efficient Deep Learning" using CUDA.
excitationClusterDropout
This is a PyTorch implementation of Excitation Cluster Dropout, a variation of Dropout which uses Excitation Backpropagation and comparisons of individual neuron activations to choose neurons to drop out.
growing-cnns
PyTorch implementation of a training scheme for convolutional neural networks called "Growing CNNs"
Knots-and-Graphs
meta
A library for multi-task learning and meta-learning.
nci-lang
A tool for learning new languages naturally, with a curated curriculum, indefinitely.
papinder
Tinder for arXiv papers.
mtcrawshaw's Repositories
mtcrawshaw/meta
A library for multi-task learning and meta-learning.
mtcrawshaw/dynamic-sparse-graph
This is an implementation of the paper "Dynamic Sparse Graph for Efficient Deep Learning" using CUDA.
mtcrawshaw/excitationClusterDropout
This is a PyTorch implementation of Excitation Cluster Dropout, a variation of Dropout which uses Excitation Backpropagation and comparisons of individual neuron activations to choose neurons to drop out.
mtcrawshaw/growing-cnns
PyTorch implementation of a training scheme for convolutional neural networks called "Growing CNNs"
mtcrawshaw/nci-lang
A tool for learning new languages naturally, with a curated curriculum, indefinitely.
mtcrawshaw/cs-681-project
CS 681 Final Project: An Intelligent Cognitive Agent for Software Vulnerability Assessment
mtcrawshaw/Knots-and-Graphs
mtcrawshaw/arxiv-notifier
mtcrawshaw/darts
Differentiable architecture search for convolutional and recurrent networks
mtcrawshaw/excitation-cluster-dropout
TensorFlow implementation for Excitation Cluster Dropout
mtcrawshaw/flowshop
Scheduling day to day tasks for maximum efficiency and productivity.
mtcrawshaw/papinder
Tinder for arXiv papers.
mtcrawshaw/light
Manipulating light in cool ways.
mtcrawshaw/loss-convexity-regularization
A method of regularization for meta learning loss functions.
mtcrawshaw/lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
mtcrawshaw/mtcrawshaw.github.io
Personal website.
mtcrawshaw/multi-translate
First project for CSE 5914 - Use IBM cloud services to translate a body of text repeatedly until the meaning degrades.
mtcrawshaw/NMT-Hyperparameters
CSE 5525 Final Project - Optimization of hyperparameters during training of neural machine translation system.
mtcrawshaw/paper-trail
Tool for managing academic papers.
mtcrawshaw/PFGU
mtcrawshaw/pytorch-cifar
95.47% on CIFAR10 with PyTorch
mtcrawshaw/TwitterNLP
mtcrawshaw/VanDerWaerden
mtcrawshaw/watchful_eye