This is a python script just written for my "Graph Theory and Applications" course that calculates the total number of spanning trees of a graph using Kirchhoff’s Theorem.
Usage: to running this, you need to have “NumPy” python package, that can be installed by :
pip install numpy
After that, just simply execute the main.py and program asks you for nodes count and adjacency matrix of your graph to calculate the result.
A Critical Assessment of State-of-the-Art in Entity Alignment This repository contains the source code for the paper A Critical Assessment of State-of
Embed to Control implementation in PyTorch Paper can be found here: https://arxiv.org/abs/1506.07365 You will need a patched version of OpenAI Gym in
Implementation of the Sheffield entry for the first Clarity enhancement challenge (CEC1) This repository contains the PyTorch implementation of "A Two
MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.
PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.
Calling Julia from Python - an experiment on data loading See the slides. TLDR After reading Patrick's blog post, we decided to try to replace C++ wit
whatwg-url whatwg-url is a full implementation of the WHATWG URL Standard. It can be used standalone, but it also exposes a lot of the internal algori
rastrainer rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle. UI TODO Init UI. Add Block. Add l
Masked Autoencoders: A PyTorch Implementation This is a PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners: @
cppn-gan-vae tensorflow Train Compositional Pattern Producing Network as a Generative Model, using Generative Adversarial Networks and Variational Aut
Apple NeuralHash is a perceptual hashing method for images based on neural networks. It can tolerate image resize and compression.
IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o
Multi-Scale Context Aggregation by Dilated Convolutions Introduction Properties of dilated convolution are discussed in our ICLR 2016 conference paper
爱美丽 Beauty 简体中文 Features Beauty is an AI drive app that can help user become beautiful. it contain those functions: face score cheek face beauty repor
Supplementary materials to "Spin-optomechanical quantum interface enabled by an ultrasmall mechanical and optical mode volume cavity" by H. Raniwala,
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA This repository contains code to run and reproduce the experiments
nvdiffmodeling Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Automatic 3D Model
TrackTech: Real-time tracking of subjects and objects on multiple cameras This project is part of the 2021 spring bachelor final project of the Bachel
Study-CSRNet-pytorch This is the PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Telegram chatbot Telegram chatbot created with deep learning model (LSTM) and telebot library. Description This program will allow you to create very
16 Oct 14, 2022
42 Dec 12, 2022
10 Aug 19, 2022
22.5k Jan 05, 2023
801 Jan 08, 2023
8 Jun 07, 2022
314 Dec 28, 2022
5 Mar 04, 2022
4.8k Jan 04, 2023
343 Dec 29, 2022
1.5k Dec 31, 2022
637 Jan 04, 2023
764 Dec 26, 2022
1 Jan 30, 2022
1 Jan 17, 2022
65 Dec 22, 2022
336 Dec 30, 2022
5 Jun 17, 2022
0 Mar 01, 2022
1 Jan 04, 2022