Convolutional Neural Networks Python Packages

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

swift-f0

Fast and accurate fundamental frequency (F0) detector using convolutional neural networks

neurite

Neural networks toolbox focused on medical image analysis

unet

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

pydtnn

PyDTNN - Python Distributed Training of Neural Networks

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

miscnn

Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

axondeepseg

Axon/Myelin segmentation using Deep Learning

easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

antspynet

Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)

networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

yolox-backbone

yolox_backbone is a deep-learning library and a collection of YOLOX Backbone models.

biapy

Open source Python library for building bioimage analysis pipelines

orthoseg

Train your own neural networks to segment orthophotos.

neuralnetlib

🧠 A flexible machine & deep learning framework built from scratch using only NumPy

continual-inference

A Python library for Continual Inference Networks in PyTorch

drillvision

DrillBitVision

pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

imagenet-c

Corruption and Perturbation Robustness (ICLR 2019)

emotion-model

Python-пакет для распознавания эмоции на лице человека по фото

cad-recognition

Image kernel.