Python Three-different-method-for-list-reversion Resources

node-ipc-dependencies-list List of all dependencies affected by node-ipc malicious commit as of 17/3/2022 - 19/3/2022 (timestamp) Please improve upon

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation E2EC: An End-to-End Contour-based Method for High-Quality H

Bluffy Convert shellcode into ✨ different ✨ formats! Bluffy is a utility which was used in experiments to bypass Anti-Virus products (statically) by f

Антикризисный риск-менеджмент личных финансов Риск-менеджмент личных финансов условиях санкций и/или финансового кризиса: делаем сегодня все, чтобы за

06_Python_Object_Class Introduction 👋 Objected oriented programming as a discipline has gained a universal following among developers. Python, an in-

02_Python_Datatypes Introduction 👋 Data types specify the different sizes and values that can be stored in the variable. For example, Python stores n

Earth Observation Companies & Jobs source Portals & Jobs Geospatial Geospatial jobs newsletter: ~biweekly newsletter with geospatial jobs by Ali Ahmad

Poisson Image Editing - A Parallel Implementation Jiayi Weng (jiayiwen), Zixu Chen (zixuc) Poisson Image Editing is a technique that can fuse two imag

WIE-WoC IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different pyth

内容农场网站清单 Google 中文搜索结果包含了相当一部分的内容农场式条目，比如「小 X 知识网」「小 X 百科网」。此种链接常会 302 重定向其主站，页面内容为自动生成，大量堆叠关键字，揉杂一些爬取到的内容，完全不具可读性和参考价值。 尤为过分的是，该类网站可能有成千上万个分身域名被 Goog

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks Abstract: Adversarial training has been proven to

Leetcode Company-wise Problems Curated lists of Leetcode questions group by companies, updated as of May, 2022. Shout out to fishercoder1534 for the a

Soomvaar 📌 Introduction Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on coll

Data Inspector Data Inspector is an open-source python library that brings 15 types of different functions to make EDA, data cleaning easier. Author:

GoodHound ______ ____ __ __ / ____/___ ____ ____/ / / / /___ __ ______ ____/ / / / __/ __ \/ __ \/ __

Unified Multi-modal Transformers This repository maintains the official implementation of the paper UMT: Unified Multi-modal Transformers for Joint Vi

[x]it! for Sublime Text This Sublime Package provides syntax-highlighting, shortcuts, and auto-completions for [x]it! files. Features Syntax highlight

ARM-Net Dependencies Python 3.6 Pytorch 1.7 Results Train Data preprocessing cd data_scripts python extract_subimages_test.py python data_augmentation

PyTorch implementation of UAGAN(U-net Attention Generative Adversarial Networks) This repository contains the source code for the paper "A High-precis

PyTorch implementation of 3D-VGT(3D-VAE-GAN-Transformer) This repository contains the source code for the paper "3D reconstruction method based on a g

A variational Bayesian method for similarity learning in non-rigid image registration We provide the source code and the trained models used in the re

Swahili News Classifier Streamlit App A simple app to classify swahili news into different categories. Installation Install all streamlit requirements

get-tiktok-user-video-list scrape tiktok/douyin video list from specific user or keyword 以**https://www.douyin.com/user/MS4wLjABAAAAUpIowEL3ygUAahQB47

Free HTTP Proxy List 🌍 It is a lightweight project that hourly scrapes lots of

CLI tool to measure the build time of different, free configurable Sphinx-Projec

Federated_Learning 💻 This projest include common test models for federated lear

About This repo contains the comprehensive list of all Wordle answers, past and

Using PyTorch Perform intent classification using three different models to see which one is better for this task

Visual Framework The visual framework is designed on the idea of module and implemented by mixin method. Its biggest feature is the mixins module whic

TGIN Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction". Files in the folder dataset/ electr

PyTD A TODO-list tool written in Python. Its goal is to provide a stable posibility to get a good view over all your TODOs motivate you to actually fi

literally-the-most-useless-project [Different steganography methods with examples and my own small image database] This project currently contains thr

Awesome AutoDL A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awe

MonoRCNN MonoRCNN is a monocular 3D object detection method for automonous driving, published at ICCV 2021. This project is an implementation of MonoR

awesome-MIM Reading list for research topics in Masked Image Modeling(MIM). We list the most popular methods for MIM, if I missed something, please su

PacketPy About PacketPy is an open-source solution for stress testing network devices using different testing methods. Currently, there are only two c

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti

A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv

pandas-method-chaining pandas-method-chaining is a plugin for flake8 that provides method chaining linting for pandas code. It is a fork from pandas-v

Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers The repository contains the code to reproduce the experimen

Adaout Adaout is a practical and flexible regularization method with high generalization and interpretability. Requirements python 3.6 (Anaconda versi

Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

python-color-getter Color getter (including method to get random color or complementary color) made out of Python Setup pip3 install git+https://githu

C++/ROS Source Codes for "Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method" published in IEEE Trans. Intelligent Transportation Systems by Bai Li, Yakun Ouyang, Li Li, and Youmin Zhang.

AD Datasets Complete* and curated list of autonomous driving related datasets Contributing Contributions are very welcome! To add or update a dataset:

L3Cube-MahaCorpus L3Cube-MahaCorpus a Marathi monolingual data set scraped from different internet sources. We expand the existing Marathi monolingual

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern

LocUNet LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs. The method utilizes accura

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models

Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them.

Crypto Portfolio Clustering Crypto Portfolio Clustering with and without optimization techniques (elbow method, PCA). Analysis This is an anlysis of c

Batch obfuscator based on the obfuscation method used by the trick bot launcher

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di

🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o

JD-backup is an advanced Python script, that will extract all links from a jDownloader 2 file list and export them to a text file.

A collection of domains, wildcards and substrings designed for dnscrypt-proxy filter method.

ML Visual Art Colabs A list of cool Colabs on Machine Learning Imagemaking or other artistic purposes 3D Ken Burns Effect Ken Burns Effect by Manuel R

Awesome Pretrained StyleGAN2 A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution. Note the readme is a

Awesome AI for Art & Design An awesome list of AI for art and design - resources, and popular datasets and how we may apply computer vision tasks to a

Awesome Machine Learning Jupyter Notebooks for Google Colaboratory A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook

Generative Deep Art A curated list of Generative Deep Art projects, tools, artworks, and models Inbox Get started with making AI art in 2022 – deeplea

RuCLIPtiny Zero-shot image classification model for Russian language RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network

Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.

Breast Cancer Classification Model is applied on a different dataset

List Less Than Ten with python

Rdwcli - Car list cli app with python

Wordle-AI A decent AI that solves daily "Wordle" puzzles. Works with different websites with similar wordlists. When prompted with "Word:" enter the w

Documentation A python package to adjust the bias of probabilistic forecasts/hindcasts using "Mean and Variance Adjustment" method. Read documentation

Description This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs) in [Gardy et

Youtube list to mp3 downloader Tiny script to convert a list of youtube videos t

News-app - This is a news web app for reading news from different sources and topics

This is a simple program that uses Python and pyTwitchAPI to retrieve the list of users in a streamer's chat and then checks each one of these users to see if they follow the broadcaster or not

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

ZIP files telegram bot A simple telegram bot that takes a list of files sent by

Wordle Searcher Searches the word list in Wordle based on search pattern. Warning: like all forms of cheating, it trivializes the game, and robs you o

List of Land Cover datasets in the GEE Catalog A list of all the Land Cover (or discrete) datasets in Google Earth Engine. Values, Colors and Descript

Currency Merger Description Currency Merger is a simple tool for joining values in different currencies. For example, if I have money in USD, EUR, BRL

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje

Variational DiffWave Training DiffWave using variational method from Variational Diffusion Models. Quick Start python train_distributed.py discrete_10

AWS-ListAll Project to list all resources in an AWS account with tags. This script works on any system Get started: Install python3 and pip3 along wit

Openspoor The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch

An implementation of the Fibonacci method for gradient descent, featuring a TKinter GUI for inputting the function / parameters to be examined and a matplotlib plot of the function and results.

Using Attention in HRL Framework for training options with different attention mechanism and using them to solve downstream tasks. Requirements GPU re

FedDCD.jl Implementation of the federated dual coordinate descent (FedDCD) method. Installation To install, just call Pkg.add("https://github.com/Zhen

An NVDA add-on to split screen reader and audio from other programs to different sound channels (add-on idea credit: Tony Malykh)

strongtyping-pyoverload A Runtime method overload decorator which should behave like a compiled language there is a override decorator from typing whi

Awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products

FSRA This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV

一个关于所有格式文件读取的方法 1。 问题描述： 各种各样的文件格式，读写操作非常的麻烦，能够有一种方法，可以整合所有格式的文件，方便用户进行读取和写入。 2

Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning.

Semantic-Segmentation A list of all papers and resoureces on Semantic Segmentation. Dataset importance SemanticSegmentation_DL Some implementation of

Lagrange Interpolation Method-Python The Lagrange interpolation formula is a way to find a polynomial, called Lagrange polynomial, that takes on certa

English | 简体中文 A curated list and survey of awesome Vision Transformers. You can use mind mapping software to open the mind mapping source file. You c

JaxTon 💯 JAX exercises Mission 🚀 To provide 100 JAX exercises over different sections structured as a course or tutorials to teach and learn for beg

Instance Semantic Segmentation List This repository contains lists of state-or-art instance semantic segmentation works. Papers and resources are list

Awesome Semantic Segmentation List of awesome things around semantic segmentation 🎉 Semantic segmentation is a computer vision task in which we label