kmader Goto Github PK

ipywebrtc

WebRTC for Jupyter notebook/lab

itkexamples

Cookbook examples for the Insight Toolkit documented with Sphinx

ivissearch

Interactive Visual Search

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.

jupyterlab-drawio

A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab

kaggle-api

Official Kaggle API

kaggle_gridsearch

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

keras

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

keras-contrib

Keras community contributions

keras-js

Run Keras models in the browser, with GPU support using WebGL

keras-model-editor

Web editor for Keras models

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

keras_webrtc

Use a keras model in the browser using WebRTC

kmader.github.io

A simple home page for myself

knip-imagej2

KNIME ImageJ/ImageJ2 Integration (based on KNIME Image Processing)

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

lucid

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

lytro-power-tools

machine-learning

Repository for activities of the machine learning committee

mappr

A Python program which parses city data and Google location history files (in JSON), interpolates data point between flights and train rides, projects the data points onto a Mercator map, and then renders the data into a MPEG-4 video frame by frame.

matplotlib

matplotlib: plotting with Python

medulina.github.io

Brain segmentation game

mlflow

Open source platform for the machine learning lifecycle

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mnt_lectures

Lecture notes and Exercises for lecture 1

mnt_lectures2019

Lecture note for the image processing part of the MNT course

model-registry

mumm3d_bigdataquantification

The material for the Big Data and 3D analysis presentation for the Mummering workshop on the analysis of large 3D/4D datasets.

n5

Not HDF5