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

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

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。

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

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. Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat 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

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

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

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

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)
[AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation and [ICCV 2021] Sparse Needlets for Lighting Estimation with Spherical Transport Loss

EMLight: Lighting Estimation via Spherical Distribution Approximation (AAAI 2021) Update 12/2021: We release our Virtual Object Relighting (VOR) Datas

Fangneng Zhan 144 Jan 06, 2023
ICCV2021 Papers with Code

ICCV2021 Papers with Code

Amusi 1.4k Jan 02, 2023
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Yulun Zhang 1.2k Dec 26, 2022
Pytorch implement of 'Unmixing based PAN guided fusion network for hyperspectral imagery'

Pgnet There's a improved version compared with the publication in Tgrs with the modification in the deduction of the PDIN block: https://arxiv.org/abs

5 Jul 01, 2022
Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

TensorFlow implementation of 3D Convolutional Neural Networks for Speaker Verification - Official Project Page - Pytorch Implementation This repositor

Amirsina Torfi 753 Dec 17, 2022
HiddenMarkovModel implements hidden Markov models with Gaussian mixtures as distributions on top of TensorFlow

Class HiddenMarkovModel HiddenMarkovModel implements hidden Markov models with Gaussian mixtures as distributions on top of TensorFlow 2.0 Installatio

Susara Thenuwara 2 Nov 03, 2021
Deep Reinforcement Learning based Trading Agent for Bitcoin

Deep Trading Agent Deep Reinforcement Learning based Trading Agent for Bitcoin using DeepSense Network for Q function approximation. For complete deta

Kartikay Garg 669 Dec 29, 2022
Compact Bilinear Pooling for PyTorch

Compact Bilinear Pooling for PyTorch. This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. This

Grégoire Payen de La Garanderie 234 Dec 07, 2022
Pytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT)

SMIT: Stochastic Multi-Label Image-to-image Translation This repository provides a PyTorch implementation of SMIT. SMIT can stochastically translate a

Biomedical Computer Vision Group @ Uniandes 37 Mar 01, 2022
Python PID Tuner - Based on a FOPDT model obtained using a Open Loop Process Reaction Curve

PythonPID_Tuner Step 1: Takes a Process Reaction Curve in csv format - assumes data at 100ms interval (column names CV and PV) Step 2: Makes a rough e

6 Jan 14, 2022
Human Detection - Pedestrian Detection using OpenCV Python

Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear

Hrishikesh Dutta 1 Jan 23, 2022
DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)

DPT This repo is the official implementation of DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021). We provide code and model

CASIA-IVA-Lab 111 Dec 21, 2022
A Gura parser implementation for Python

Gura Python parser This repository contains the implementation of a Gura (compliant with version 1.0.0) format parser in Python. Installation pip inst

Gura Config Lang 19 Jan 25, 2022
Api's bulid in Flask perfom to manage Todo Task.

Citymall-task Api's bulid in Flask perfom to manage Todo Task. Installation Requrements : Python: 3.10.0 MongoDB create .env file with variables DB_UR

Aisha Tayyaba 1 Dec 17, 2021
UCSD Oasis platform

oasis UCSD Oasis platform Local project setup Install Docker Compose and make sure you have Pip installed Clone the project and go to the project fold

InSTEDD 4 Jun 16, 2021
🧑‍🔬 verify your TEAL program by experiment and observation

Graviton - Testing TEAL with Dry Runs Tutorial Local Installation The following instructions assume that you have make available in your local environ

Algorand 18 Jan 03, 2023
Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect"

Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect" by Michael Ne

M Nestor 1 Apr 19, 2022
Machine Learning Models were applied to predict the mass of the brain based on gender, age ranges, and head size.

Brain Weight in Humans Variations of head sizes and brain weights in humans Kaggle dataset obtained from this link by Anubhab Swain. Image obtained fr

Anne Livia 1 Feb 02, 2022
Only works with the dashboard version / branch of jesse

Jesse optuna Only works with the dashboard version / branch of jesse. The config.yml should be self-explainatory. Installation # install from git pip

Markus K. 8 Dec 04, 2022
The implementation of "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement"

SF-Net for fullband SE This is the repo of the manuscript "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Ban

Guochen Yu 36 Dec 02, 2022