Python Signed Resources

HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction This is the official implementation for the ICCV 2021 paper Learning Sign

Circular genome tools (cgt) A sage package for working with circular genomes represented by signed or unsigned permutations. It includes tools for con

Falcon signed sessions This project allows you to easily add trusted cookies to falcon, it works by storing a signed cookie in the client's browser us

What's this? A simple interactive CLI wrapper around openssl to make self-signin

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact

This is the course project of AI3602: Data Mining of SJTU. Group Members include Jinghao Feng, Mingyang Jiang and Wenzhong Zheng.

SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors [Paper] [Project Website] Pytorch implementation for SAVI2I. We

django-formapi Create JSON API:s with HMAC authentication and Django form-validation. Version compatibility See Travis-CI page for actual test results

DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a

FutureHelper Supports macOS and Windows Downloads SEP, Baseband and BuildManifest automatically for signed iOS version's (including beta firmwares) fo

signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled

SSSNET SSSNET: Semi-Supervised Signed Network Clustering For details, please read our paper. Environment Setup Overview The project has been tested on

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code

SGCN ⠀ A PyTorch implementation of Signed Graph Convolutional Network (ICDM 2018). Abstract Due to the fact much of today's data can be represented as

MetaSDF: Meta-learning Signed Distance Functions Project Page | Paper | Data Vincent Sitzmann*, Eric Ryan Chan*, Richard Tucker, Noah Snavely Gordon W

SignedUEFIShell During our research of the BootHole vulnerability last year, we tried to find as many signed bootloaders as we could. We searched all

Generate 3D meshes based on SDFs (signed distance functions) with a dirt simple Python API.