Stars
X-IL: Exploring the Design Space of Imitation Learning Policies
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
An extension of LightGBM to probabilistic modelling
Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.
A curated list of resources for using LLMs to develop more competitive grant applications.
SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
IVON optimizer for neural networks based on variational learning.
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Unified framework for robot learning built on NVIDIA Isaac Sim
Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data
Awesome-LLM: a curated list of Large Language Model
Code for CoRL23 paper "Topology-matching NFs for OOD Detection in Robot Learning"
Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism
Graph Assembly processing networks for robotic assembly sequence planning and feasibility learning
Latex template for a TUM dissertation/PhD thesis
[NeurIPS 2021] Equivariant Manifold Flows (https://arxiv.org/abs/2107.08596)
Source code for IROS 2022 paper: Bayesian Active Learning for Sim-to-Real Robotic Perception.
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Paper of out of distribution detection and generalization
A curated list of point cloud registration.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)