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Type: User
Company: MIT
Type: User
Company: MIT
Learning deep probabilistic estimates of SO(3)
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.
An educational resource to help anyone learn deep reinforcement learning.
PyBullet Planning
Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit
A python script that helps students study throughout the semester, instead of having to cram before exams.
:package: Published package for spaced repetition algorithm SuperMemo2/SM-2
Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
On the model-based stochastic value gradient for continuous reinforcement learning
Taskonomy: Disentangling Task Transfer Learning
An pytorch implementation of time-contrastive networks as presented in the paper "Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation".
A library for differentiable nonlinear optimization
High-order spline interpolation in PyTorch
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
Tools for PyTorch
Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
Unit Testing for pytorch, based on mltest
Study a few robotics systems and their trajectory generation strategies
Trajectory optimization algorithms for robotic control.
Trajectory Optimization Using Pytorch
Transporter implementation in PyTorch
Fuse multiple depth frames into a TSDF voxel volume.
The course text for MIT 6.832 (and 6.832x on edX)
Automatically exported from code.google.com/p/v-hacd
PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss
Unsupervised clustering with (Gaussian mixture) VAEs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.