18 Repositories
Python cut Libraries
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
(CVPR 2022) TokenCut Pytorch implementation of Tokencut: Self-supervised Transformers for Unsupervised Object Discovery using Normalized Cut Yangtao W
This project is based on discord.py and is meant to be a 'Quick Start Bot' to cut down on the time it takes to write complex discord bots.
This project is based on discord.py and is meant to be a 'Quick Start Bot' to cut down on the time it takes to write complex discord bots.
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once (YOCO) YOCO is a simple method/strategy of performing augmenta
A cut down version of QUANT containing just the model in Python (QUANTPy)
A cut down version of QUANT containing just the model in Python (QUANTPy)
Open Source API and interchange format for editorial timeline information.
OpenTimelineIO is currently in Public Beta. That means that it may be missing some essential features and there are large changes planned. During this phase we actively encourage you to provide feedback, requests, comments, and/or contributions.
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
✂️🕷️ Spider-Cut is a Network Mapper Framework (NMAP Framework)
Spider-Cut is a Network Mapper Framework (NMAP Framework) Installation | Usage | Creators | Donate Installation # Kali Linux | WSL
This repository containing cross-section cut and fill calculations using Python programming language.
cross-section This repository is containing cut and fill calculations for cross-section using Python programming language. This codes is made to calcu
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
kawadi is a versatile tool that used as a form of weapon and is used to cut, shape and split wood.
kawadi kawadi (કવાડિ in Gujarati) (Axe in English) is a versatile tool that used as a form of weapon and is used to cut, shape and split wood. kawadi
Pytorch implementation of Cut-Thumbnail in the paper Cut-Thumbnail:A Novel Data Augmentation for Convolutional Neural Network.
Cut-Thumbnail (Accepted at ACM MULTIMEDIA 2021) Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu This is the officia
A python program to cut longer MP3 files (i.e. recordings of several songs) into the individual tracks.
I'm writing a python script to cut longer MP3 files (i.e. recordings of several songs) into the individual tracks called ReCut. So far there are two
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa
Python and OpenCV-based scene cut/transition detection program & library.
Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.6.1 (October 11, 2021) Main Webpage: py.scenedetect.com Documentation: manual.scenede
Python Simple Mass Video Clipper (PSMVC)
Python Simple Mass Video Clipper (PSMVC) PSMVC é um gerador de cortes via terminal construído em python. Uso Basta abrir o arquivo start.py Dependenci
This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.
This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline