Torch MinGRU implementation based on "Were RNNs All We Needed?"

A vectorized n-dimensional ICP implementation for registering two point clouds or a point cloud with a polyline.

Depth map compression by colorization in vectorized form

Image stitching of planar targets based on analytical homographies

ReactiveX extensions for Redis in Python

A pure PyTorch based implementation of "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding" with tweaks.

Real Spherical Harmonics for PyTorch

Minimal, standalone, fast Python OpenEXR reader for single-part, uncompressed scan-line files as produced by Blender.

A modern Python library to work with Anoto dot patterns.

💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

Theory and implementation of Monte Carlo integration techniques

Vectorized Python methods for creating, manipulating and tessellating signed distance fields.

Seamlessly integrate numpy arrays into pydantic models.

Temporal blending of projectile motion estimates in 1D

toy examples glow and planar flow

Fitting kinematic parameters to best align with set of noisy anchor points in Python.

Omnidirectional camera calibration in python

Repository for Marp Themes created with beauty and simplicity in mind.

Implementation of "Learning to Reach Goals via Iterated Supervised Learning"

🥝 Autoregressive Models in PyTorch.

Generates psychedelic color textures in the spirit of Blender's magic texture shader using Python/Numpy

A PyTorch-Lightning callback to increase model reproducibility through enforcing consistent git repository states upon training and validation.

Python implementation of "Global Data Association for MOT Tracking using Network Flows"

Non-dimensionalization of physical equations using sympy.

Dimensional analysis and modeling in Python

Python code to compute 3D parametric supershapes; additional Blender mesh generation support

Latex, TikZ calibration pattern generation.

Convolutional PyTorch debayering / demosaicing layers

Code for 'Notes on Semi-Supervised Expectation Maximization'

Code for "Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception" IROS 2019