MIT Graphics Group

MIT Graphics Group's repositories

ContinuousParetoMTL

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

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diffmat

PyTorch-based differentiable material graph library for procedural material capture

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diff_pd_public

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PGMORL

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

Language:PythonMIT95 18 3

multicopter_design

Language:C++GPL-2.079 25 16

diff_stokes_flow

Code for the Siggraph Asia 2020 submission

Language:C++MIT44 180

ardupilot

APM Plane, APM Copter, APM Rover source

Language:C++GPL-3.030 60

DiffAqua

[SIGGRAPH 2021] DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation

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recfilter

Domain-specific language for IIR filters

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opengl_viewer

Language:C++GPL-2.07 15 2

LOCOInterpolate

[SIGGRAPH 2017] Interactive Design Space Exploration and Optimization for CAD Models

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6.8420-CompDesignFab

[6.8420] The assignments for Computational Design and Fabrication

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diffmat-legacy

Legacy version of DiffMat library

Language:PythonNOASSERTION4 180

py_pbrt

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6.4420-CompDesignFab

[6.4420] The assignments for Computational Design and Fabrication

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CDFG-website

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Geometry-course-notes

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6.4420-CompDesignFabs24

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Bartels

000

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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CppAD

CppAD Fork

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CppADCodeGen

CppADCodeGen Fork

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dartmouth_drone

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drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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mma

A self-contained C++ implementation of MMA and GCMMA.

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pentimento

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pokemon-showdown

Pokémon battle simulator.

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pygl_window

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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