kmader

lytro-power-tools

kaggle_gridsearch

Kaggle now lets you programatically run kernels using GPUs, it's time to get gridsearch working on them

python-anatomy-crawler

radiology_binder

A simple binder for radiology material to prevent rebuilding with every typo in a course material

tangent_conv

Tangent Convolutions for Dense Prediction in 3D

awesome-rshiny

An awesome R-shiny list!

ban-vqa

Bilinear attention networks for visual question answering

dash_dmv_viewer

A plotly dash component allowing you to view DICOMs in Dash

dashboards

Jupyter Dashboards Layout Extension

dask-ndmeasure

A library for computing N-D measurements on labeled Dask Arrays

documentation

Plotly's Documentation

ipython-file-upload

IPython file upload widget

ivvv

The image voxel volume viewer (pronounced ivy)

jose

The Journal of Open Source Education (JOSE) is an educator-friendly journal for publishing computational learning modules & educational software.

kaggle-api

Official Kaggle API

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-model-editor

Web editor for Keras models

lucid

A collection of infrastructure and tools for research in neural network interpretability.

or-tools

Google's Operations Research tools

parse_sj

A simple library for parsing Science Journal Data in .sj format

pycel

A library for compiling excel spreadsheets to python code & visualizing them as a graph

pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

PySyft

A Library for Private, Secure, Multi-Owner Deep Learning - Currently Pre Alpha

python-pcl

Python bindings to the pointcloud library (pcl)

scijava-jupyter-kernel

Write SciJava scripts in Jupyter notebook!

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

SuperPointPretrainedNetwork

TernausNetV2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

tomopy

Tomographic Reconstruction in Python

TransmogrifAI

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning