shimopino's starred repositories
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
kaggle-trends-3rd-place-solution
the 3rd place solution code of Kaggle TReNDS Neuroimaging (https://www.kaggle.com/c/trends-assessment-prediction/overview)
GANs-in-Computer-Vision
GANs in computer vision AI Summer article series
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
DanbooRegion
DanbooRegion: An Illustration Region Dataset (ECCV 2020)
fast-transformers
Pytorch library for fast transformer implementations
distribution_augmentation
Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
100knocks-preprocess
データサイエンス100本ノック（構造化データ加工編）
pytorch-cifar
95.47% on CIFAR10 with PyTorch
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
pytorch-spectral-normalization-gan
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
MixNet-PyTorch
A PyTorch implementation of MixNet: Mixed Depthwise Convolutional Kernels
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
deeplearning-biology
A list of deep learning implementations in biology
DCGAN-CelebA-PyTorch-CPP
DCGAN Implementation using PyTorch in both C++ and Python
allennlp-book
本リポジトリは「AllenNLP入門」のソースコード置き場です。
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
nlptutorial
A Tutorial about Programming for Natural Language Processing