Pinned Repositories
autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
bench_models
Бенчмарк инференса разных моделек из timm.
easyjson
Fast JSON serializer for golang.
EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
exif-py
Easy to use Python module to extract Exif metadata from digital image files.
style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
stylegan-images
Images generated by StyleGAN with lite mapping network 512, 4, 4, 4, 4, 4, 4, 512 instead of 8x512.
sync
Golang library for Taooka distributed lock manager
MichaelMonashev's Repositories
MichaelMonashev/sync
Golang library for Taooka distributed lock manager
MichaelMonashev/stylegan-images
Images generated by StyleGAN with lite mapping network 512, 4, 4, 4, 4, 4, 4, 512 instead of 8x512.
MichaelMonashev/bench_models
Бенчмарк инференса разных моделек из timm.
MichaelMonashev/style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
MichaelMonashev/autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
MichaelMonashev/easyjson
Fast JSON serializer for golang.
MichaelMonashev/EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
MichaelMonashev/efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
MichaelMonashev/exif-py
Easy to use Python module to extract Exif metadata from digital image files.
MichaelMonashev/image-format-benchmark
Бенчмарк скорости чтения и декодирования разных форматов хранения изображения разными библиотеками.
MichaelMonashev/JigsawPuzzleSolver
MichaelMonashev/keras-applications
Reference implementations of popular deep learning models.
MichaelMonashev/keras-models
Images with Keras applications. Suitable for choosing layers for freezing. Useful for complex models such as NASNet.
MichaelMonashev/keras-retinanet
Keras implementation of RetinaNet object detection.
MichaelMonashev/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
MichaelMonashev/MNIST
MichaelMonashev/multi-loader-processor
Шаблон кастомного даталоадера
MichaelMonashev/mysql-tarantool-proxy
Proxy to send SQL requests from MySQL clients to Tarantool. Not finished version.
MichaelMonashev/neural-dream
PyTorch implementation of DeepDream algorithm
MichaelMonashev/preprocessing-benchmark
Бенчмарк скорости препроцессинга изображений разными либами
MichaelMonashev/PyTorch-Deep-Dream
Minimal PyTorch implementation of Deep Dream
MichaelMonashev/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
MichaelMonashev/tcplanz
TCPDump latency analyzer
MichaelMonashev/torchio
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
MichaelMonashev/whisper
Robust Speech Recognition via Large-Scale Weak Supervision