This is a Python Module For Encryption, Hashing And Other stuff

Related tags

Deep Learningpythonencryptionmodulepiphashing-libraryhashing-algorithmencryption-decryptionencryption-libraryfileencrtption
Overview

EnroCrypt

This is a Python Module For Encryption, Hashing And Other Basic Stuff You Need, With Secure Encryption And Strong Salted Hashing You Can Do Whatever You Want To
Downloads

Docs

Installation

EnroCrypt Is Avaliable On PyPi You Can Install It As Follows:
pip install -U enrocrypt

Manual Installation

If For Some Reason You Can't Install EnroCrypt From PyPi You Can Download It Manually Too:

  • Clone This Repo
  • Cut-Paste This Repo In Your Python Scripts Path
  • Enter In The Folder Where You See "setup.py" file
  • shift+right click in the Folder And Click On "Open Powershell window Here"
  • Type python setup.py install
    After Following All The Steps Mentioned Above (If You Don't Get An Error) EnroCrypt Is Installed, Now You Can Import It Right Away

Features

  • Strong Encryption
  • Strong Salted Hashing
  • File Encryption-Decryption
  • Some Basic Functions

Usage

    # For Encryption
    import enrocrypt
    value = enrocrypt.encryption.Encrypt(b'text')
    print(value)
    # For Decryption
    original_value = enrocrypt.encryption.DecryptList(value)
    print(original_value)

There Is Also a DecryptFunction, But In This Function You Have To Enter The Key And The Data Seperatly

(See Discussion For More Info)

You might also like...
TreeSubstitutionCipher - Encryption system based on trees and substitution

Tree Substitution Cipher Generation Algorithm: Generate random tree. Tree nodes

stepa 1 Jan 8, 2022
计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

PyTorch实现多种计算机视觉中网络设计中用到的Attention机制，还收集了一些即插即用模块。由于能力有限精力有限，可能很多模块并没有包括进来，有任何的建议或者改进，可以提交issue或者进行PR。

PJDong 599 Dec 23, 2022
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

Invariant Point Attention - Pytorch Implementation of Invariant Point Attention as a standalone module, which was used in the structure module of Alph

Phil Wang 113 Jan 5, 2023
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University

Nikola Zubić 213 Dec 27, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

null 2 Jul 19, 2022
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 6.9k Jan 4, 2023
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 5.7k Feb 12, 2021
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Use PyMove and go much further Information Package Status License Python Version Platforms Build Status PyPi version PyPi Downloads Conda version Cond

Insight Data Science Lab 64 Nov 15, 2022
BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)
BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)

BBB Streamer NG? Makes a conference like this... ...streamable like this! I also recorded a small video showing the basic features: https://www.youtub

Lukas Schauer 60 Oct 21, 2022
Comments
  • Current error.py is not friendly or scalable

    Current error.py is not friendly or scalable

    The current error.py file contains a class which contains several functions for raising an error. This is not a very good practice. Also, you are using the cryptography library to get a error. Instead just create different classes for each exception and create your own exception instead of importing from cryptography for starting this is fine but after that not. To learn more about it refer here And here and here. If you feel like I am being to rude or bossy sorry, I like this library and am just highlighting a few issues which when fixed would make the library great.

    bug 
    opened by pybash1 3
  • Add Passlib and Bcrypt For More Hashing Support

    Add Passlib and Bcrypt For More Hashing Support

    It will be good if we use passlib and bcrypt make some new functions as cryptography does not have good hashing functions and hence less people will use the modules for hashing if we don't use preferred modules.

    Feature-Request 
    opened by Morgan-Phoenix 0
  • Dependencies

    Dependencies

    When Anyone Installs EnroCrypt The Dependencies Are Not Getting Installed Because install_requires is not present in setup.py

    **- The Issue Is Present On All OS

    • Using Python 3.9.5
    • Module-Version Latest(v1.0.4)**

    This Bug Can Be Solved If install_requires is present in setup.py

    bug 
    opened by Morgan-Phoenix 0
  • Fix some common programming practices

    Fix some common programming practices

    I think variable names should be meaningful. So, I changed final to listString. Also, since we are specifying data to be str in the arguments I don't think we need to convert it to a str again. And also, renamed to basic.py, basicfuncs.py just didn't sound right.

    opened by pybash1 0
Releases(v1.1.5)
Owner
GitHub Repository https://morgan-phoenix.github.io/EnroCrypt/
Informal Persian Universal Dependency Treebank

Informal Persian Universal Dependency Treebank (iPerUDT) Informal Persian Universal Dependency Treebank, consisting of 3000 sentences and 54,904 token

Roya Kabiri 0 Jan 05, 2022
PyArmadillo: an alternative approach to linear algebra in Python

PyArmadillo is a linear algebra library for the Python language, with an emphasis on ease of use.

Terry Zhuo 58 Oct 11, 2022
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment This repository shows two tasks: Face landmark detection and Fac

BoomStar 51 Dec 13, 2022
A annotation of yolov5-5.0

代码版本：0714 commit #4000 $ git clone https://github.com/ultralytics/yolov5 $ cd yolov5 $ git checkout 720aaa65c8873c0d87df09e3c1c14f3581d4ea61 这个代码只是注释版

Laughing 229 Dec 17, 2022
Apollo optimizer in tensorflow

Apollo Optimizer in Tensorflow 2.x Notes: Warmup is important with Apollo optimizer, so be sure to pass in a learning rate schedule vs. a constant lea

Evan Walters 1 Nov 09, 2021
General Assembly Capstone: NBA Game Predictor

Project 6: Predicting NBA Games Problem Statement Can I predict the results of NBA games from the back-half of a season from the opening half of the s

Adam Muhammad Klesc 1 Jan 14, 2022
Official Pytorch implementation for AAAI2021 paper (RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning)

RSPNet Official Pytorch implementation for AAAI2021 paper "RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning" [Suppleme

35 Jun 24, 2022
Object Database for Super Mario Galaxy 1/2.

Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object

Aurum 9 Dec 04, 2022
Codes for our IJCAI21 paper: Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

DDAMS This is the pytorch code for our IJCAI 2021 paper Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization [Arxiv Pr

xcfeng 55 Dec 27, 2022
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding This repo contains the data and source code for baseline models in the NeurIPS 2

Microsoft 29 Dec 29, 2022
PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

HAN PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network" This repository is for HAN introduced in the

五维空间 140 Nov 23, 2022
FairFuzz: AFL extension targeting rare branches

FairFuzz An AFL extension to increase code coverage by targeting rare branches. FairFuzz has a particular advantage on programs with highly nested str

Caroline Lemieux 222 Nov 16, 2022
Unofficial Implementation of MLP-Mixer, Image Classification Model

MLP-Mixer Unoffical Implementation of MLP-Mixer, easy to use with terminal. Train and test easly. https://arxiv.org/abs/2105.01601 MLP-Mixer is an arc

Oğuzhan Ercan 6 Dec 05, 2022
Repository providing a wide range of self-supervised pretrained models for computer vision tasks.

Hierarchical Pretraining: Research Repository This is a research repository for reproducing the results from the project "Self-supervised pretraining

Colorado Reed 53 Nov 09, 2022
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

neural-combinatorial-rl-pytorch PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning. I have implemented the basic

Patrick E. 454 Jan 06, 2023
Learning to Prompt for Continual Learning

Learning to Prompt for Continual Learning (L2P) Official Jax Implementation L2P is a novel continual learning technique which learns to dynamically pr

Google Research 207 Jan 06, 2023
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. This repository c

Deep Learning for HEP 101 Nov 13, 2022
This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine

LSHTM_RCS This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collabo

Lukas Kopecky 3 Jan 30, 2022
Dataloader tools for language modelling

Installation: pip install lm_dataloader Design Philosophy A library to unify lm dataloading at large scale Simple interface, any tokenizer can be inte

5 Mar 25, 2022
Official PyTorch implementation and pretrained models of the paper Self-Supervised Classification Network

Self-Classifier: Self-Supervised Classification Network Official PyTorch implementation and pretrained models of the paper Self-Supervised Classificat

Elad Amrani 24 Dec 21, 2022