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YOKOTA Laboratory at Tokyo Tech's Projects

adahessian icon adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

asdfghjkl icon asdfghjkl

ASDL: Automatic Second-order Differentiation (for Fisher, Gradient covariance, Hessian, Jacobian, and Kernel) Library

backpack icon backpack

BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient

byol-pytorch icon byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

caffe icon caffe

Caffe Extended Version fork from NVIDIA

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cream icon cream

This is a collection of our NAS and Vision Transformer work.

cutout icon cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepspeedfugaku icon deepspeedfugaku

main: microsoft/Meagtron-DeepSpeed, cpu: 富岳上で動かすstableブランチ

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

ecl-isvr icon ecl-isvr

P2P Distributed deep learning framework that runs on PyTorch.

federatedlearning icon federatedlearning

An adaptable federated learning framework with a central server, supporting diverse datasets, models, and optimizers. Facilitates collaborative, yet private, data training with customizable aggregation algorithms.

gemsfmm icon gemsfmm

Automatically exported from code.google.com/p/gemsfmm

gpt-neox icon gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

hmatrix-singularity icon hmatrix-singularity

Singularity images for hierarchical matrix computations for fast and reproducible deployments on supercomputers.

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