This is your work, valued

Tokyo

Ryuichiro Hataya

Elite
@moskomule

senet.pytorch. PyTorch implementation of SENet

2.3k

ewc.pytorch. An implementation of EWC with PyTorch

260

sam.pytorch. A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization

136

dda. Differentiable Data Augmentation Library

125

homura. homura is a library for fast prototyping DL research

104

shampoo.pytorch. An implementation of shampoo

79

cca.pytorch. CCAs for looking into DNNs

70

anatome. Ἀνατομή is a PyTorch library to analyze representation of neural networks

66

pytorch.rl.learning. for learning reinforcement learning using PyTorch.

64

l0.pytorch. an implementation of L0 regularization with PyTorch

57

ssl-suite. SSL using PyTorch

48

mixup.pytorch. an implementation of mixup

41

pytorch.snapshot.ensembles. PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]

36

eve.pytorch. Python

33

simple_transformers. Simple transformer implementations that I can understand

20

chika. chika is a simple and easy config tool for hierarchical configurations.

20

hypergrad. Simple and extensible hypergradient for PyTorch

18

distillation.pytorch. Implementation of several knowledge distillation techniques on PyTorch

15

pytorch.detection.learning. learning object detection using pytorch

12

introvae.pytorch. Python

11

softdisc. Differentiable Discrete Algorithms for PyTorch

9

memory_efficient_attention.pytorch. A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory" (Rabe&Staats'21).

8

maguro. A simple job scheduler for GPUs

7

softsort.pytorch. PyTorch implementation of Cuturi M., Teboul O., Vert JP: Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator

6

dataset-contamination. Datasets of "Will Large-scale Generative Models Corrupt Future Datasets?"

6

gsync. Simple PyDrive wrapper and command line tool.

6

neuralcompressor.pytorch. PyTorch Implementation of Compressing Word Embeddings via Deep Compositional Code Learning

4

mlp_mixer.pytorch. PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision"

4

pyproject_template. Python

3

miniargs. A wrapper of argparse which I can remember the APIs.

3

abel.pytorch. PyTorch LR scheduler of ABEL

3

matplotlib-better-practice.

3

moskomule.github.io. HTML

2

madoka. A simple wrapper of matplotlib for figures in papers

2

honen. A wrapper of matplotlib for myself

2

_.dotfiles. dotfiles

2

greedy-learning. To catch up the recent progress of layerwise learning

2

fast_dataloader. Fast data loader using tar and tensordict

2

mine.pytorch. Python

1

cuda-server. Shell

1

black-box-optimization. Julia

1

vision. Datasets, Transforms and Models specific to Computer Vision

1

mae.pytorch. A PyTorch implementation of Masked Autoencoders (WIP)

1

LaTeX-better-practice. To avoid re-searching and re-inventing wheels

1

moskomule.

1

iclr. In Context Learning Research

1