Convolutional Neural Network Python Packages

clinicadl

Python library for the reproducible processing of neuroimaging data with deep learning methods

tiramisu-brulee

A 2D and 3D PyTorch implementation of the Tiramisu CNN

vladk-neural-network

Mini-library that implements a simple version of a feedforward neural network (FNN) and convolutional neural network (CNN) from scratch using Python and PyTorch

aeronet-learn

An educational neural network library written using python, numpy, and minimal scipy functions

pro-gan-pth

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

flatiron

Standardized computer vision pipeline framework with a chainable API and procedurally defined model architecture

corigami-demo

C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.

corigami

C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.

quickcnn

QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.

tinto-prueba

TINTO: Software to convert Tidy Data into Image for Classification with 2-Dimensional Convolutional Neural Networks

tintonera-prueba

TINTO: Software to convert Tidy Data into Image for Classification with 2-Dimensional Convolutional Neural Networks

kconmd

Molecular dynamics (MD) simulations supported by k-Bags Convolutional Neural Network (kcon).