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.

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.

dropblock

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

antspynet

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

biapy

Open source Python library for building bioimage analysis pipelines

fastmri

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

axondeepseg

Axon/Myelin segmentation using Deep Learning

minkowskiengine

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

zensols-deeplearn

General deep learning tools

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

networks

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

emotion-model

Python-пакет для распознавания эмоции на лице человека по фото

toothless

Radio galaxy classifier for python

continual-inference

A Python library for Continual Inference Networks in PyTorch

openspliceai

🤖 Open‑source deep-learning-based splice‑site predictor that decodes splicing patterns across species

deeptaxa-rrna

Hybrid CNN-BERT deep learning for hierarchical taxonomic classification of 16S rRNA sequences

yolox-backbone

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

neuralnetlib

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

orthoseg

Train your own neural networks to segment orthophotos.

pytorch-hexagdly

Process hexagonally sampled data with PyTorch