peteflorence

Machine-Learning-6.867-homework

quadrotor-nanomap

caffe_FAST

This is taken from Oliviera et al, which was distributed as a tar file from here: https://lmb.informatik.uni-freiburg.de/resources/binaries/

6-172-trace-visualizations

iPython notebook to help visualize the distribution of a memory trace

6-172-project-2-docker

A set of scripts for setting up a docker to run 6.172's project 2 with graphics

analysis-nanomap

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

caffe

Caffe: a fast open framework for deep learning.

darknet

Convolutional Neural Networks

director

A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu

LabelFusion

leiser_docker

leiser_scraper

Mask_RCNN

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

matrix-multiply

Matterport

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

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

productivity

Productivity tool for judiciously using non-core-work time

pytorch-examples

Simple examples to introduce PyTorch

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

PyTorchDocker

my version of dockerizing PyTorch

SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

simple_cpp_test

speed_dipslayer_node

speed_node_cpp

tmux-conf

My tmux conf, and tmux cheatsheet

trace-visualizations

underactuated

The course text for MIT 6.832 (and 6.832x on edX)

vision_visp

ViSP stack for ROS