[CVPR 2020 Oral] A differentiable framework for 3D registration
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Updated
Oct 25, 2023 - Python
[CVPR 2020 Oral] A differentiable framework for 3D registration
Operator overloading for fast anonymous functions.
A collection of Python scripts that I used while working with NBIS to carry out some of the bulk work.
Lightweight performat Python 3.12+ automatic differentiation system that leverages PyTorch’s computational graph to compute arbitrary-order partial derivatives.
Implemention of Gaussian Elimination with Scaled Partial Pivoting to solve system of equations using matrices.
A small Python library providing wrappers for external executables and Python functions so that they can easily be partialized with Python's functools.partial.
📦 Override parameter defaults via environment variables & config files
Code for the TMLR 2025 paper "Spatio-temporal Partial Sensing Forecast of Long-term Traffic"
Library that eXtends functools.partial to allow for selective argument freezing (unfinished)
Using supervised learning on Lending Club loan data to predict default and / or bad loans
TicTacToe in Python using Tkinter and GUI.
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