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motoko-base

The Motoko base library

motorcycledynamics

Free library for the dynamic simulation of a motorcycle, and tailored to test and validation of active control systems for motorcycle dynamics.

motorcyclelib

Free Modelica library for the purpose of simulation, analysis and control of bicycles and motorcycles (single-track vehicles, uses BondLib)

mount

mount-olympus

Mount Olympus web scraping example app

mountaincar_dqn_rnd

Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

mountainlab

Scientific data analysis, sharing, and visualization

mountainlab-conda

A collection of recipes for building conda packages for Mountainlab and Mountainsort

mountainlab-js

MountainLab is data processing, sharing and visualization software for scientists. It is built around MountainSort, spike sorting software, but is designed to be more generally applicable.

mountainlab-js-tests

Automated tests of spike sorting using mountainlab-js

mountainsort

Spike sorting software

mountainsort_examples

Examples of using MountainSort spike sorting software.

mountainsort_examples-old

Examples for getting started with MountainSort spike sorting software

mountaintools

mountainview

Visualization of spike sorting experiments

mouse

A small companion to cats

mouse_embryo_labeller

A tool for tracking mouse embryo cell nuclei over time using data derived from 4d microscopy

movable_function

An std::function-like type erased wrapper that supports movable-only callable types

moves

Ruby client for Moves

movfuscator

The single instruction C compiler

movie-demo-frontend

js frontend for movie recommender demo

movie-demo-setup

movie-demo-setup

movie-monad

:tv: A free and simple to use video player made with Haskell.

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

movie-reco-using-rbm

Movie Recommendation using Restricted Boltzmann Machine (RBM)

movie-recommender-using-rbm

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

movielens

4 different recommendation engines for the MovieLens dataset.

movielens.sql

The MovieLens database in SQL

moviepy

Video editing with Python

movim-docker

Dockerfiles for movim application