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mariokart64neat

NEAT implementation in Lua for Mario Kart 64 and the BizHawk emulator

marioo_o-flow-curioisty

Playing SuperMario via flow-based curiosity exploration & RL agent.

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mars-finetuning

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

mash

Fast genome and metagenome distance estimation using MinHash

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskgan

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

massivedatans

Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets

matchbox

Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.

matchlstm-pytorch

a pytorch implementation of match lstm question answering model

matex

Machine Learning Toolkit for Extreme Scale (MaTEx)

mathsdl-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

mathsteps

Step by steps math solutions for everyone

matlab_learning_collision_checking

Code for learning collision checking policies using Bayesian active learning

matrixnet

PyTorch implementation for MatrixNet object detection architecture.

matryoshkanetworks

Experiments with deep convolutional generative models

matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

matterport3dsimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

maxwells-daemon

Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.

mazebase

Simple environment for creating very simple 2D games and training neural network models to perform tasks within them

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

mcg

Multiscale Combinatorial Grouping - State-of-the-art Object Proposals and Segmentation

mcic-coco

mdda

mdnet

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

mean-teacher

Source code for "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results"

meaning-guided-video-captioning-

Here we describe a new approach to train a video captioning neural network , that is not only based on the normal cross entropy loss for the caption but also uses the meaning of the caption.