Siddharth Ancha's Projects
Navigation environment for 10-703 Deep RL course project.
Automated bidirectional Monte Carlo for probabilistic programming languages.
CmdStan, the command line interface to Stan.
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Denoising Diffusion Probabilistic Models for Uncertainty Estimation
Model-based design and verification for robotics.
Examples of how to use Drake in your own project.
Experimental prototyping (for now)
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Source code for "Combining Deep Learning and Verification forPrecise Object Instance Detection"
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
A repository for a universal I/O spec for TAMP, along with scripts to convert from popular specs to our spec
Course notes for MIT manipulation class
Shareable model files (urdf/sdf + meshes, etc) for our robotics projects
Course webpage for PGM, Spring 2019.
Feature Visualization by Sampling
Spot SDK repo
ROS2 driver package for boston dynamic's spot
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Robotics visualization and debugging
Probabilistic programming for the web
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent