matsumotosan

matsumotosan

raytracer

Raytracer in Go

SiamFC

PyTorch implementation of a fully-convolutional Siamese Network for object tracking

tinygit

A tiny reimplementation of Git in Go

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

cardiovascular

The cardiovascular repository contains C++ and Python programs useful for cardiovascular applications, in particular applications related to the SimVascular modeling and simulation software.

init.lua

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

playground

PyTorch Lightning re-implementations of various neural network architectures

tiny

A tiny autograd engine inspired by micrograd

Verifiable-Coherent-NLU

Shared repository for TRIP dataset for verifiable NLU and coherence measurement for text classifiers.

vessel_tree_generator

Recursive vessel tree generator

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

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.

DeepImagePrior

PyTorch Lightning implementation of Deep Image Prior

lightly

A python library for self-supervised learning on images.

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

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

linalg

Linear Algebra Library in C++

lsp-zero.nvim

A starting point to setup some lsp related features in neovim.

matmul

matsumotosan.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

meme

PyTorch Lightning implementation of Mutually Supervised Multimodal VAEs (MEME)

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.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

pytorch_geometric

Graph Neural Network Library for PyTorch

RandNLA.jl

Implementations of randomized numerical linear algebra algorithms in Julia

skops

skops is a Python library helping you share your scikit-learn based models and put them in production

SSR-R2D-PCA

Robust 2D Principal Component Analysis with Structured Sparsity Regularization (SSR-R2D-PCA)