COLMAP - Structure-from-Motion and Multi-View Stereo

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

A thoroughly investigated survey for tensorial neural networks.

Effortlessly create quantum circuit diagrams in Typst.

Official implementation of "SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization" (ECCV 2024)

Geometry of concept grasp in latent space

Schedule-Free Optimization in PyTorch

A library for easy and efficient manipulation of tensor networks.

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Typst で日本語論文を書くときのテンプレート

Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

The power of quantum neural networks

Experimental realization on a qubit of a Universal Approximator

筑波大学情報科学類の卒業論文向けのTypstテンプレート

A new markup-based typesetting system that is powerful and easy to learn.

An implementation of numbered theorem environments in typst

Minimal pytorch implementation of TensorNetwork for Machine Learning paper

Massively parallel tensor network solver

Quantum-enhanced transformer neural network

Decoding Quantum Error Correction codes with Generative Pre-trained Transformers

Code to reproduce paper regarding quantum diffusion model and extend: Zhang, Bingzhi, et al. "Generative quantum machine learning via denoising diffusion probabilistic models." arXiv preprint arXiv…

Materials for lecture of tensor network

An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.

The Toric Code (surface code for quantum error correction) together with the MWPM decoder (need a package) and the union-find decoder programmed in python

Python package for simulation and visualization of quantum error-correction on surface codes. The package provides the ability to inspect the error-correcting code during the decoding process, and …

https://compneuro-julia.github.io/