RuhuaWang

clean-code-python

:bathtub: Clean Code concepts adapted for Python

Copy-Paste-for-Semantic-Segmentation

Unofficial implementation of Copy-Paste method：Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dotnets

Create simple drawings of neural networks using graphviz

fastbook

The fastai book, published as Jupyter Notebooks

FEDformer

MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

Ranger21

Ranger deep learning optimizer rewrite to use newest components

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

RuhuaWang/clean-code-python

:bathtub: Clean Code concepts adapted for Python

RuhuaWang/Copy-Paste-for-Semantic-Segmentation

Unofficial implementation of Copy-Paste method：Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

RuhuaWang/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

RuhuaWang/dotnets

Create simple drawings of neural networks using graphviz

RuhuaWang/fastbook

The fastai book, published as Jupyter Notebooks

RuhuaWang/FEDformer

RuhuaWang/MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

RuhuaWang/Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

RuhuaWang/Ranger21

Ranger deep learning optimizer rewrite to use newest components

RuhuaWang/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.