richardrl Goto Github PK

so3_learning

Learning deep probabilistic estimates of SO(3)

soft-intro-vae-pytorch

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

ss-pybullet

PyBullet Planning

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo and GitHub.

storm

Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit

studyplanner

A python script that helps students study throughout the semester, instead of having to cram before exams.

supermemo2

:package: Published package for spaced repetition algorithm SuperMemo2/SM-2

superquadric_parsing

Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

surreal

Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab

svg

On the model-based stochastic value gradient for continuous reinforcement learning

taskonomy

Taskonomy: Disentangling Task Transfer Learning

tcn

An pytorch implementation of time-contrastive networks as presented in the paper "Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation".

theseus

A library for differentiable nonlinear optimization

torch-interpol

High-order spline interpolation in PyTorch

torch_bingham

torchcubicspline

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

torchfold

Tools for PyTorch

torchquad

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

torchtest

Unit Testing for pytorch, based on mltest

tracking

trajectoryoptimization

Study a few robotics systems and their trajectory generation strategies

trajopt

Trajectory optimization algorithms for robotic control.

trajopt-1

Trajectory Optimization Using Pytorch

transporter-pytorch

Transporter implementation in PyTorch

trimesh

Python library for loading and using triangular meshes.

tsdf-fusion

Fuse multiple depth frames into a TSDF voxel volume.

tssos

A sparse polynomial optimization tool based on the moment-SOS hierarchy.

underactuated

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