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lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

ltlpro

A set of prompts. These prompts can help translate neural language into formal LTL task specifications.

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

magictools

:video_game: :pencil: A list of Game Development resources to make magic happen.

manim

Animation engine for explanatory math videos

marian

Fast Neural Machine Translation in C++

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

mask_rcnn

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

mastering_ros

This repository contains exercise files of the book "Mastering ROS for Robotics Programming"

matsim

Multi-Agent Transport Simulation

matterport3dsimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

mazegenerator

Python scripts for generating and solving random solvable mazes using the depth-first search and recursive backtracking algorithms.

mc_slam

Modify the monocular SLAM and adding the IMU preintegrator

mindsdb

Framework to streamline use of neural networks

minicps

MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet

mitrobotnavigation

This repository is an implement of a paper belongs to MIT which discusses a new method for robot navigating.

mix_initiative

Human-in-the loop mix initiative control under temporal tasks

ml-resources

mpc

A pure Python module for simulating discrete-time linear time-invariant dynamic systems controlled with a model predictive controller.

multi-agent-reinforcement-learning-in-stochastic-games

Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

multi-robot-slam-experiment

Collection of multi-robot SLAM algorithms for ROS

multiagent-competition

Repository for competitive multi-agent environments

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiple_robots_slam

multitask-and-transfer-learning

Benchmark and build RL architectures that can do multitask and transfer learning.

mx-maskrcnn

A MXNet implementation of Mask R-CNN

nanomap_ros

NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search of Local 3D Data