matsumotosan
Biomedical Engineering PhD student at the University of Michigan, Ann Arbor
CorpyAnn Arbor, MI
Pinned Repositories
truncatedSVD
Machine Learning Reproducibility Challenge 2021
cfd-project
2D compressible Euler equation solver
lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
matsumotosan
metrics
Machine learning metrics for distributed, scalable PyTorch applications.
numerical-linear-algebra
Jupyter notebooks on concepts from numerical/computational linear algebra. Inspired by Professor Rachel Thomas' class on computational linear algebra.
raytracer
Raytracer in Go
SiamFC
PyTorch implementation of a fully-convolutional Siamese Network for object tracking
tinygit
A tiny reimplementation of Git in Go
Verifiable-Coherent-NLU
Shared repository for TRIP dataset for verifiable NLU and coherence measurement for text classifiers.
matsumotosan's Repositories
matsumotosan/cfd-project
2D compressible Euler equation solver
matsumotosan/matsumotosan
matsumotosan/numerical-linear-algebra
Jupyter notebooks on concepts from numerical/computational linear algebra. Inspired by Professor Rachel Thomas' class on computational linear algebra.
matsumotosan/raytracer
Raytracer in Go
matsumotosan/SiamFC
PyTorch implementation of a fully-convolutional Siamese Network for object tracking
matsumotosan/tinygit
A tiny reimplementation of Git in Go
matsumotosan/Ultrasound-Joint-Morphology-MQP
matsumotosan/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
matsumotosan/cardiovascular
The cardiovascular repository contains C++ and Python programs useful for cardiovascular applications, in particular applications related to the SimVascular modeling and simulation software.
matsumotosan/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
matsumotosan/metrics
Machine learning metrics for distributed, scalable PyTorch applications.
matsumotosan/playground
PyTorch Lightning re-implementations of various neural network architectures
matsumotosan/tiny
A tiny autograd engine inspired by micrograd
matsumotosan/Verifiable-Coherent-NLU
Shared repository for TRIP dataset for verifiable NLU and coherence measurement for text classifiers.
matsumotosan/vessel_tree_generator
Recursive vessel tree generator
matsumotosan/active-neural-generative-coding
Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
matsumotosan/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
matsumotosan/continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
matsumotosan/gridworld
matsumotosan/hyde
A brazen two-column theme for Jekyll.
matsumotosan/lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
matsumotosan/lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
matsumotosan/matsumotosan.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
matsumotosan/metisfl
MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data silos without ever collecting the data in a centralized location. The core of the framework is written in C++ and focuses on scalability, speed and resiliency.
matsumotosan/ngc-learn
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
matsumotosan/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
matsumotosan/pytorch_geometric
Graph Neural Network Library for PyTorch
matsumotosan/RandNLA.jl
Implementations of randomized numerical linear algebra algorithms in Julia
matsumotosan/SSR-R2D-PCA
Robust 2D Principal Component Analysis with Structured Sparsity Regularization (SSR-R2D-PCA)