Vgg Python Packages

image-classifiers

Classification models trained on ImageNet. Keras.

timm-3d

PyTorch Volume Models for 3D data

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

tensornets

High level network definitions with pre-trained weights in TensorFlow

wai-annotations

Python library for converting annotated datasets into various formats (e.g., image classification, object detection and speech datasets).

neural-dream

PyTorch implementation of DeepDream algorithm

pastiche

A PyTorch implementation of Neural Style Transfer (Gatys et al. 2015).

seg-torch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

mantissa-cnn

CNN classifier in Python on the mantissa C engine — LeNet-5, VGG-style and AlexNet-style model zoo with paper citations, five classic image datasets, and honest speed/accuracy/RAM benchmarks vs PyTorch, TensorFlow and scikit-learn.

wai-annotations-roi

Python library for converting annotated datasets into various formats (e.g., image classification, object detection and speech datasets).

segmentation-torch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.